Examples provide for multichannel attribution of member-related offline purchase data with member-related online activity data associated with a featured item entry for an item featured on a webpage. An attribution manager correlates the offline purchase data associated with the featured item and items related to the featured item with the online activity data, such as views and clicks associated with the featured item entry. The attribution manager generates a multichannel attribution report including multichannel attribution data, including attribution level data and time window data. The attribution level data includes direct attribution data, complementary item attribution data and common brand attribution data. The time window data includes identification of a time window during which member purchase of instances of the featured item take place subsequent to member online activity associated with the featured item. The attribution report is presented to users via a user interface device.
An automated supply chain for end to end tracking of eaches, comprising: one or more distribution centers for receiving eaches and delivering the eaches to a market; one or more of pallets, cases and totes for transporting the eaches, the one or more of pallets, cases and totes comprising tracking systems; a plurality of robots at the one or more distribution centers for sorting the eaches for shipment between the one or more distribution centers and the market; a unified commerce engine (UCE) comprising at least one processor and at least one non-transitory memory including computer program code, the UCE configured to receive and store identification information from the tracking systems, the UCE tracking locations of the eaches within the pallets, cases and totes in each of the one or more distribution centers from receipt from the manufacturer to delivery to the market using the identification information.
Systems and methods for predicting advertising related inventory and opportunity for advertising campaigns based on metadata and dimensionality reduction are disclosed. In some embodiments, a disclosed method includes: receiving, from a computing device, a prediction request associated with an advertising campaign; determining a metadata set associated with the advertising campaign; generating, based on a machine learning model, an embedding for the metadata set; determining, based on the embedding, at least one embedding associated with at least one advertising opportunity data; generating predicted advertising opportunity data for the advertising campaign based on the at least one advertising opportunity data; and transmitting the predicted advertising opportunity data to the computing device.
This application is directed to systems and methods for ranking items in response to a query. In some embodiments, a disclosed method includes identifying a plurality of items to be provided in response to a first query and determining a plurality of messages. A first item of the plurality of items was previously engaged by former users in response to a plurality of second queries, and corresponds to a first message determined based on the second queries. The method further includes determining a query feature vector of the first query based on the messages including the first message of the first item, ranking the items associated with the first query into an ordered item list based on the query feature vector, and in response to receiving the first query from a next user, presenting information of the items based on the ordered item list on an electronic device.
A system including one or more processors and one or more non-transitory computer-readable media storing computing instructions, that when executed on the one or more processors, cause the one or more processors to perform operations including: obtaining triangle data of a 3D model of an item; generating a first mask texture of the 3D model based on the triangle data; generating a second mask texture of the 3D model larger than the first mask texture by extruding the triangle data; and rendering a 3D outline mesh onto an image of the 3D model to highlight the 3D model, such that the 3D outline mesh subtracts the first mask texture for the second mask texture. Other embodiments are disclosed.
There are provided systems and methods for assisting consumers with merchandise purchases at a retail facility. The system may include an application to facilitate purchase of merchandise items at a retail facility, which may be executed on a user's mobile device. The application may receive input regarding items scanned at the retail facility using the mobile device and may facilitate payment for the scanned items by the mobile device. The system may also include a control circuit that: accesses database(s) to determine the user's purchase history; determines candidate items to be considered for recommendation to the user; computes a ranking of candidate items based on a weighted combination of recency and frequency of purchases of each candidate item, merchandise category of other candidate items, and price of the candidate item; and causes the display on the mobile device of additional recommended merchandise items for purchase by the user.
Examples provide for generating dynamic minimum presentation (MP) values for optimizing fresh item production while reducing system resource usage. An MP engine calculates a monetary level impact of overproduction and underproduction of a fresh item using production-related data, including a shelf life of the fresh item and cost of production. The calculated monetary level impact includes predicted monetary loss from lost sales due to an item going out-of-stock and/or monetary loss from unsold instances of the fresh item where too many instances of the fresh item are prepared. The dynamic MP value is generated based on dynamic data, the item attribute data, and the predicted monetary loss. The dynamic MP value is used to create a production plan recommendation customized at a store-item level for a selected date, thereby enabling optimization of safety stock while minimizing system resource usage consumed in generating MP predictions for fresh items.
An anti-skimming device includes a base configured to be mounted to at least one of a support structure or a card reader device. The base includes mounting openings configured to receive mounting hardware for securing the base to the at least one of the support structure or the card reader device. An arm extends outward from the base. The arm includes a flange extending such that a gap is defined between the flange and the base. The gap is configured to receive at least portion of the card reader device therein such that the flange of the arm overlaps a portion of a front side of the card reader device.
G06K 7/01 - Methods or arrangements for sensing record carriers Details
G07F 7/08 - Mechanisms actuated by objects other than coins to free or to actuate vending, hiring, coin or paper currency dispensing or refunding apparatus by coded identity card or credit card
Systems and methods for expediting online transactions are disclosed. In some embodiments, a disclosed method includes: obtaining a query submitted by a user; identifying, in the query, at least one predetermined keyword indicating a request for an expedited transaction by the user; determining, based on the query and a transaction history of the user, a product item; generating contract data related to a purchase contract of the product item; and transmitting, as a response to the query, the contract data with an option for the user to select to directly place an order of the product item.
Systems and methods for identifying substitute elements for computer-implemented processes are disclosed. A substitution request identifying an anchor element is received. A set of candidate substitution elements is generated by a trained candidate selection model configured to receive the anchor element, a feature set, and a set of catalog elements. The set of candidate substitution elements is ranked by a trained ranking model configured to receive the anchor element, the feature set, and the set of candidate substitution elements. At least one substitution element is selected from the set of candidate substitution elements and feedback data representative of the suitability of the selected at least one substitution element with respect to the anchor element is received. At least one of the trained candidate selection model or the trained ranking model is updated by applying an iterative training process incorporating at least a portion of the feedback data.
System and methods for controlling product price adjustments are disclosed. In some embodiments, a disclosed method includes: identifying, based on the historical product data, one of more products from the plurality of products for implementation of a markdown, receiving, from a user interface, a plurality of market inputs associated with the one or more products, generating an optimal time period and optimal markdown value associated with the markdown of the one or more products, and mapping the one or products to a prioritization indication based on the optimal time period and the optimal markdown value.
G06Q 10/04 - Forecasting or optimisation specially adapted for administrative or management purposes, e.g. linear programming or "cutting stock problem"
G06Q 30/0202 - Market predictions or forecasting for commercial activities
12.
SYSTEM AND METHOD FOR SUPPLY CHAIN OPTIMIZATION BASED ON ORDER DATA
Systems and methods for allocating optimal supply chain resources based on order data are disclosed. In some embodiments, a disclosed method includes: receiving, from a computing device, an allocation request associated with an order; determining a customer node associated with the order, wherein the customer node is in a supply chain network; determining, based on the order and the customer node, a sub-network of the supply chain network; determining, based on cost information associated with the sub-network, at least one path from at least one source node to the customer node in the sub-network; generating supply chain allocation data for the order based on the at least one path; and transmitting the supply chain allocation data to the computing device.
Systems and methods for multi-item searching for limited-channel interfaces are disclosed. In some embodiments, a disclosed method includes: receiving an input message from a requesting device via a limited-communication channel; identifying, via a first trained natural language model, a plurality of queries in the input message; implementing a plurality of search threads, wherein each of the plurality of search threads is configured to generate search results for a corresponding one of the plurality of queries; generating a responsive message comprising at least a portion of the search results for each of the corresponding one of the plurality of queries; and transmitting the responsive message to the requesting device.
H04L 51/02 - User-to-user messaging in packet-switching networks, transmitted according to store-and-forward or real-time protocols, e.g. e-mail using automatic reactions or user delegation, e.g. automatic replies or chatbot-generated messages
14.
SCANNING OPTICAL CODES WITH IMPROVED ENERGY EFFICIENCY
Systems and methods for scanning optical codes with improved energy efficiency are disclosed. In some embodiments, a disclosed method includes: obtaining a video captured by a camera; determining, based on a machine learning model, whether an optical code is included in any frame image of the video; presenting a viewable area on a display operatively coupled to the camera, once the video starts to include at least a portion of the optical code; and dynamically adjusting the viewable area based on a size of the optical code in each frame image of the video.
G06K 7/14 - Methods or arrangements for sensing record carriers by electromagnetic radiation, e.g. optical sensingMethods or arrangements for sensing record carriers by corpuscular radiation using light without selection of wavelength, e.g. sensing reflected white light
G06T 3/40 - Scaling of whole images or parts thereof, e.g. expanding or contracting
H04N 23/63 - Control of cameras or camera modules by using electronic viewfinders
15.
SYSTEMS AND METHODS FOR QUERY ENRICHMENT AND GENERATION OF INTERFACES INCLUDING ENRICHED QUERY RESULTS
Systems and methods for generating enhanced user interfaces are disclosed. A set of candidate items responsive to a request for an enhanced interface is generated. The set of candidate items is responsive to a query or an anchor item. A composite candidate score for each candidate item is generated by a pick item scoring engine based on one or more historical interactions. A set of top-k items is selected from the set of candidate items and at least one pick item is selected from the set of top-k items. At least one enhancement interface element is selected for display in conjunction with the at least one pick item and a response to the request for the enhanced interface is transmitted that causes a receiving device to generate a user interface including the at least one pick item displayed in conjunction with the at least one enhancement interface element.
Systems and methods of generating an interface are disclosed. A request for an interface including a search query is received and a set of search results are generated via a search engine. A set of initial content campaigns are selected based on a category associated with the search query and are filtered based on a similarity score generated for the search query and each content campaign to generate a set of candidate content campaigns. The set of candidate content campaigns is filtered based on an exploration content score and an exploitation content score to generate a set of final content campaigns. An interface is generated including at least one content element selected from the set of final content campaigns and at least one content element selected from the set of search results. The interface is transmitted to the requesting system, which is configured to display the interface on a display.
Systems and methods for controlling product allocation in response to market variations are disclosed. In some embodiments, a disclosed method includes: obtaining, from the database, the historical data, the historical data associated with market performance of the first product, identifying a first anomaly in the historical data of the first product, the first anomaly being a deviation in the market performance of the first product, linking a plurality of causal attributes to the first anomaly, generating a plurality of causal estimation values, each of the plurality of causal estimate values being associated with each of the plurality of causal attribute, and identifying a second product based on the plurality of causal estimation values, the second product being different than the first product.
Systems and methods for controlling product allocation in response to market variations are disclosed. In some embodiments, a disclosed method includes: obtaining, from the database, the historical data, the historical data associated with market performance of the first product, identifying a first anomaly in the historical data of the first product, the first anomaly being a deviation in the market performance of the first product, linking a plurality of causal attributes to the first anomaly, generating a plurality of causal estimation values, each of the plurality of causal estimate values being associated with each of the plurality of causal attribute, and identifying a second product based on the plurality of causal estimation values, the second product being different than the first product.
Some embodiments provide an item collection and consolidation system, comprising: a multi-level, multi-aisle storage structure; a plurality of workstations; a plurality of mobile robots that transfer containers through the storage structure and to and from the workstations; and a dynamic vertical buffer system comprising: a first access station positioned at a first level of multiple different levels of the vertical buffer system; multiple shelf systems movable between different levels, wherein each shelf system is configured to receive consolidated items of different orders; a shelf movement system comprising at least one lift motor configured to move at least one of the multiple shelf systems between the different levels and the first access station; and a vertical buffer control circuit communicatively coupled with the shelf movement system and configured to control the shelf movement system to move the multiple shelf systems to and from the access station.
B65G 1/137 - Storage devices mechanical with arrangements or automatic control means for selecting which articles are to be removed
B65G 1/06 - Storage devices mechanical with means for presenting articles for removal at predetermined position or level
G05B 19/045 - Programme control other than numerical control, i.e. in sequence controllers or logic controllers using logic state machines, consisting only of a memory or a programmable logic device containing the logic for the controlled machine and in which the state of its outputs is dependent on the state of its inputs or part of its own output states, e.g. binary decision controllers, finite state controllers
A system and method for generating pick-walk data from batch picking is provided. The method includes generating a vector for each item in a store, with the vector being generated based on walking distances in time from a zone corresponding to the item to other zones in the facility, walking distances in time from the item to other items within the zone corresponding to the item, a category corresponding to the item, and a subcategory corresponding to the item. Items within an online order are partitioned into clusters with each cluster including items in close proximity to one another. Pick-walks are assigned to a plurality of pickers based on the clusters, witch each pick-walk including items from a plurality of different orders.
Systems and methods for handling, manipulating, loading, and/or unloading objects in a retail environment include a mobile robot system. The mobile robot system may include a mobile robot and a first sensor system communicatively coupled to the mobile robot. The first sensor system has a trigger area and generates a signal in response to detecting an object in the trigger area. The mobile robot system further includes a sensor mount coupled to the mobile robot and the first sensor system. The sensor mount includes a gimbal that changes a sensor angle between the first sensor system and the mobile robot and affects a location of the trigger area in response to tilting of the mobile robot relative to a horizontal plane.
A system for notifying expiry of purchased products. The system includes a scanner configured to capture a product code associated with the expiry of a product for sale. The system further includes a control circuit configured to determine that the product for sale having been sold is expiring within a period of time and access a customer database to determine if a customer is associated with an opt-in expiry notification. The control circuit is further configured to transmit a message to electronic devices associated with opted-in customers indicating that the product for sale having been sold is expiring within the period of time.
This application is directed to systems and methods for executing a user application on a multi-tenant service platform. In some embodiments, a disclosed method includes obtaining, from a user, a request associated with a first division in a user application; identifying an operation policy associated with a configuration of the user application for the first division, the user application including a plurality of executors configured to provide a plurality of parameters associated with the configuration; based at least in part on the operation policy of the first division, selecting one of the plurality of executors to respond to the request associated with the first division; executing the user application using the selected one of the plurality of executors to generate a response to the request associated with the first division; and transmitting the response to the request associated with the first division to the user.
In some embodiments, apparatuses and methods are provided herein useful to inventory management. In some embodiments, an inventory management system comprises a mobile device comprising an image capture device configured to capture an image and a communications transceiver configured to transmit the image, and a control circuit configured to receive, from the mobile device, the image, detect, within the image, the first sign and the second sign, identify, based on the first sign, a product associated with the first sign, identify, based on the second sign, a location of the product storage unit, associate, in a database, an indication of the product associated with the first sign and the location of the product storage unit.
A retail terminal system including a sensor system with a camera array and a control circuit is provided. The control circuit captures images of items in a receiving area and associates each image with a transaction identifier. The image is segmented into multiple segments, each with a unique identifier. The control circuit detects symbology data within each segment. If detected, a product identifier is identified based on the symbology data. If not, a computer vision algorithm determines the product identifier based on the item image. The product identifier is then associated with the segment identifier and added to an item list linked to the transaction identifier.
A system for optimizing labor resources at a facility. The system includes a memory configured to store a first optimization model and a second optimization model. Where the first optimization model, when executed by a control circuit, determines optimal shift patterns for full-time employee schedules and fixed part-time employee schedules over a period of time. Where the second optimization model, when executed by the control circuit, determines headcounts and variable part-time shifts. The system further includes an electronic device configured to execute an application stored in a local memory of the electronic device, the application when executed causes the control circuit to output one or more staffing recommendation levels displayable on the electronic device.
A method can include determining a frame processing operation for one or more frames of an image from an electronic device, the one or more frames of the image corresponding to a body of a user; determining if the electronic device is in alignment; determining if the electronic device is in an environment that satisfies a light threshold; determining pre-selected joint points for the body of the user in the one or more frames of the image based on pre-selected joint landmarks defined in a configuration set; determining a face alignment of the user in the one or more frames of the image; determining hair of the user is properly positioned in the one or more frames of the image; determining enough skin of the user is visible in the one or more frames of the image; and in response to the one or more frames of the image being validated, capturing an image of the user with the pre-selected joint landmarks to enable items to be overlaid on the image of the user. Other embodiments are disclosed.
Systems and methods for simulation forecasting in target networks including dynamic realignment are disclosed. A set of target nodes including at least one demand node realignment representative of a demand volume shift for at least one corresponding distribution node in a predetermined time period is received. When the demand volume shift is equal to or above a predetermined threshold, an estimated volume feature for the at least one corresponding distribution node is generated. When the demand volume shift is below the predetermined threshold, an actual volume feature for the at least one corresponding distribution node is generated. The generated one of the estimated volume feature or the actual volume feature is provided to a trained forecasting model to generate a demand forecast data structure based on the generated one of the estimated volume feature or the actual volume feature.
G06Q 10/0631 - Resource planning, allocation, distributing or scheduling for enterprises or organisations
G06Q 10/0637 - Strategic management or analysis, e.g. setting a goal or target of an organisationPlanning actions based on goalsAnalysis or evaluation of effectiveness of goals
G06Q 30/0202 - Market predictions or forecasting for commercial activities
In some embodiments, apparatuses and methods are provided herein useful to test the operation of a point-of-sale (POS) system by executing a testing routine to send signals associated with keystrokes from a POS keyboard to a POS terminal for processing in the POS system. The simulated keystroke signals have expected corresponding operations in the POS system.
Systems and methods for updating a database including compliance verification are disclosed. A database update including at least one addition of or modification to a data record in a database is received. A compliance status is generated by providing at least a portion of the database update to a multilayer monitoring process configured to implement at least a keyword similarity process and a trained classification model. When the compliance status indicates an approved database update, the addition of or modification to the data record in the database is executed.
Systems and methods for generating training datasets for use in machine learning are disclosed. A plurality of data records are received. Each record in the plurality of records includes a set of features. A first reduced dimension feature set is generated by applying a linear dimension reduction process to the set of features and a second reduced dimension feature set is generated by applying a non-linear dimension reduction process to the first reduced dimension feature set. The set of records is clustered based on the second reduced dimension feature set and a training dataset is generated by labeling each record in the plurality of records based on a cluster associated with each record. A machine learning model is trained by applying a supervised training process based on the training dataset.
Systems and methods for determining topics for a document based on selective topic models are disclosed. In some embodiments, a disclosed method includes: obtaining at least one document; applying a plurality of topic models to the at least one document to identify at least one topic associated with the at least one document; selecting a topic model from the plurality of topic models based on the at least one topic; generating topic related data comprising data associated with a topic identified based on the selected topic model; and storing the topic related data in a database.
Systems and methods for augmenting time series data are disclosed. In some embodiments, a disclosed method includes: storing, in a database, current time series data associated with a plurality of users, receiving, from the database, the current time series data, wherein the current time series data is associated with a current time period, generating synthetic historical time series data based on the current time series data, and combining the current time series data and the synthetic historical time series data to generate augmented time series data.
Systems and methods for item-seller recommendation for assortment growth are disclosed. In some embodiments, a disclosed method includes: obtaining a plurality of machine learning models; receiving, from a computing device, a request for assortment growth in a marketplace; determining, based on the request, a corresponding arrangement of the plurality of machine learning models; generating, based on the plurality of machine learning models according to the corresponding arrangement, a recommendation list of item-seller combinations; and transmitting the recommendation list to the computing device.
G06Q 10/0631 - Resource planning, allocation, distributing or scheduling for enterprises or organisations
G06Q 10/0637 - Strategic management or analysis, e.g. setting a goal or target of an organisationPlanning actions based on goalsAnalysis or evaluation of effectiveness of goals
G06Q 30/0202 - Market predictions or forecasting for commercial activities
37.
PERSONALIZED SHIPPING LABELS WITH CUSTOMIZABLE CONTENT
Examples provide personalized shipping labels with dynamically customized content. Package-related data associated with an item to be shipped to a user is obtained from one or more data sources. The package-related data is analyzed with ambient data using a set of rules. Customized content predicted to be of interest to the user is generated. The customized content includes content printed on available space in the shipping label and/or dynamically customized content linked to a customized content code, such as a quick response (QR) code printed on the label within carrier-specific available space on the label. The dynamically customized content is updated in real-time in response to updates in the package-related data, such as changing events, the recipient's location, and/or the user scanning the code. The content linked to the content code can updated during package transit before the package is delivered or after receipt of the package by the recipient.
G06F 16/9535 - Search customisation based on user profiles and personalisation
G06K 7/14 - Methods or arrangements for sensing record carriers by electromagnetic radiation, e.g. optical sensingMethods or arrangements for sensing record carriers by corpuscular radiation using light without selection of wavelength, e.g. sensing reflected white light
This disclosure provides techniques for facilitating modeling responses to variable parameters, and in particular embodiments, within the context of a price setting strategy for a retail club. A trained member response metric model may be trained using a training corpus. A modified price for a target item may be then be predicted, and used to calculate a predicted demand for the target item. The predicted demand may be used to calculate predicted sales of the target item, after which predict a member response metric score associated with the modified price may be determined using the first trained member response metric model and the predicted sales.
Systems and methods of anomaly detection using an optimal reference value are disclosed. A plurality of source-specific anchor values are received and a plurality of model features are generated. A plurality of trained source-specific classification models, each associated with at least one of the plurality of source-specific anchor values and each configured to receive a subset of the plurality of model features, are implemented. Each of the plurality of trained source-specific classification models is configured to classify the associated at least one of the plurality of source-specific anchor values as one of anomalous or non-anomalous. A trained weighted classification model is implemented to generate an optimal anchor value. The optimal anchor value includes a weighted aggregation of each of the plurality of source-specific anchor values identified as non-anomalous. An optimal reference value is generated based on the optimal anchor value.
Examples provide a shelf location detection system. A shelf is supported by a shelf support arm engaging a notch in a smart shelf support member having a stack of resistors in series within the interior of the shelf support member. A plug on the support arm removably couples to the notch. A sensor detects a change in voltage across at least one resistor in the resistor stack. A location of the shelf on the smart shelf support member is determined using the detected voltage change. A controller on the smart shelf support member transmits the location to a controller on each accessory device on the shelf. The shelf can further include a plurality of resistors connected in series. The accessory device detects changes in voltage through the plurality of resistors and generates an estimated position of the accessory device on the shelf using the change in voltage data.
41.
SYSTEMS AND METHODS FOR CREATING SAFETY ZONES USING MOBILE ROBOTS
There are provided systems and methods for creating safety zones at facilities using mobile robots. In one form, the system may include a facility with pathways and with a guide system for facilitating movement along the pathways and mobile robots configured to move along the pathways. Each mobile robot may include a locomotion system for movement of each mobile robot along the pathways and an extendable and retractable member for engaging a support adjacent to a pathway. The system may further include supports with receiving portions that receive the extendable and retractable members of the mobile robots. In the system, a blocking position may be defined where a receiving portion has received an extendable and retractable member of a mobile robot, thereby limiting movement of the mobile robot and blocking other mobile robots from passing along a pathway occupied by the mobile robot at the blocking position.
B65G 1/06 - Storage devices mechanical with means for presenting articles for removal at predetermined position or level
B65G 1/137 - Storage devices mechanical with arrangements or automatic control means for selecting which articles are to be removed
B65G 43/02 - Control devices, e.g. for safety, warning or fault-correcting detecting dangerous physical condition of load- carriers, e.g. for interrupting the drive in the event of overheating
Some embodiments provide retail order packing control systems comprising: an order fulfillment control system; and a custom package fabrication system comprising a custom printing system. The package fabrication system comprises a package customization control circuit configured to: identify a customer order associated with a customer; confirm that the customer order is eligible to include custom package printing; identify that packaging is to be custom printed for the customer order; identify a package fabrication pattern in fabricating a package specific to the order; identify a print plan, of multiple different print plans, to be applied to the packaging based on the customer and dependent on the package fabrication pattern; and control the custom printing system, of the custom package fabrication system, to print the first print plan onto packaging material to provide custom printed packaging material specific to the first customer order.
A system, method and computer readable medium for dynamically determining location-based rules affecting item sales at POS registers for a particular location and for distributing the location-based rules to the POS registers is discussed. A location-based ruleset of rules regulating sales of items at an individual store is created and transmitted to the store along with a rule group to item map file that maps rules and warnings to individual store items. A rules engine at the store provides updated item sale rules and warnings to POS registers based on the location-based ruleset and rule group to item map file. Embodiments thus provide an improved system for updating POS registers at different store locations with location-based rules specific to the store location.
Some embodiments provide systems to determine contextual information comprising: an intent mining system that receive inquiry content that does not include personal identification information (PII) and is configured to determine an estimated intent information being sought by an intended recipient, identify a mapping to a sub-set of supplemental keywords corresponding to the intent information; and identify historic inquiries associated with actual historic product purchases relevant to the inquiry content and supplemental keywords, and obtain a listing of products associated with the inquiry content; a product association system that identifies a set of multiple products that each have a purchase threshold relationship with one or more products from the determined listing of products, and generate an enhanced listing of products; a topic extraction system that evaluates associations between product parameters of the enhanced listing of products to identify multiple associated topics and corresponding topic confidence scores.
Systems and methods of generating interfaces including recommended items selected by a graph-based cold-start (GCS) model are disclosed. A request for an interface is received and a set of interface items is generated for inclusion in the interface. The set of interface items is selected, at least in part, by a GCS model including a semantic similarity component and a viewed-also-viewed component. The set of interface items is generated based on a combination of an output of the semantic similarity component and an output of the viewed-also-viewed component. The interface including the set of interface items is generated and transmitted to a system that generated the request for the interface.
Methodologies, systems, and computer-readable media provided for a system for generating personalized electronic documents and verifying user identity are discussed. The system receives user identification data and check information from a user application. The check information is validated by the issuer of the check. The system transmits a notification to the user application that includes a machine readable code. The user application presents the machine readable code and the user identification data to a check-in module and automatic processing of the check is initiated.
G06K 19/06 - Record carriers for use with machines and with at least a part designed to carry digital markings characterised by the kind of the digital marking, e.g. shape, nature, code
G06Q 20/10 - Payment architectures specially adapted for electronic funds transfer [EFT] systemsPayment architectures specially adapted for home banking systems
G06Q 20/32 - Payment architectures, schemes or protocols characterised by the use of specific devices using wireless devices
G06Q 20/36 - Payment architectures, schemes or protocols characterised by the use of specific devices using electronic wallets or electronic money safes
G06Q 20/40 - Authorisation, e.g. identification of payer or payee, verification of customer or shop credentialsReview and approval of payers, e.g. check of credit lines or negative lists
G06Q 40/04 - Trading Exchange, e.g. stocks, commodities, derivatives or currency exchange
Features are applied to a mathematical model to produce a cutting pattern for opening a container. The cutting pattern specifies which of one or more cutting tools is to be used and the location of where cuts are to be made on the container. The cutting pattern is sent to a container opening machine. The container opening machine is operated and the container cut and opened by the container opening machine according to the cutting pattern.
B23D 59/00 - Accessories specially designed for sawing machines or sawing devices
B23K 26/06 - Shaping the laser beam, e.g. by masks or multi-focusing
B23K 26/38 - Removing material by boring or cutting
B26D 5/00 - Arrangements for operating and controlling machines or devices for cutting, cutting-out, stamping-out, punching, perforating, or severing by means other than cutting
B65B 69/00 - Unpacking of articles or materials, not otherwise provided for
G06K 7/10 - Methods or arrangements for sensing record carriers by electromagnetic radiation, e.g. optical sensingMethods or arrangements for sensing record carriers by corpuscular radiation
G06N 3/04 - Architecture, e.g. interconnection topology
G06V 10/764 - Arrangements for image or video recognition or understanding using pattern recognition or machine learning using classification, e.g. of video objects
G06V 10/80 - Fusion, i.e. combining data from various sources at the sensor level, preprocessing level, feature extraction level or classification level
G06V 10/82 - Arrangements for image or video recognition or understanding using pattern recognition or machine learning using neural networks
G06V 20/52 - Surveillance or monitoring of activities, e.g. for recognising suspicious objects
A checkout terminal is provided. The checkout terminal comprises a camera array, a display device, a weight scale, and a control circuit. The control circuit is configured to identify, based at least on images captured by the camera array, product identifiers associated with a plurality of different items placed in a placement area and on the weight scale, determine a combined weight of the plurality of different items based on product weight information stored in a product database, retrieve a weight measurement measured by the weight scale, detect for unaccounted items based on comparing the combined weight the plurality of different items and the weight measurement, and in the event that an unaccounted item is detected, display, via the display device, instructions to move one or more items to identify the unaccounted item.
A system for retail forecasting and task management. The system includes a sales history database storing sales histories associated with a plurality of store locations; a network adapter; and a control circuit. The control circuit is configured to: provide, via the network adapter, a retail task user interface on a user device at a store location; cluster a plurality of store locations based on shared characteristics; determine a local sales forecast value on a future date for the store location based on a sales history of the store location using a first forecast model; determine a group sales forecast value on the future date based on sales histories of other store locations using the first forecast model; determine an adjusted sales forecast for the store location based on the local sales forecast value and the group sales forecast value; and provide the adjusted sales forecast.
A system for retail forecasting and task management. The system includes a sales history database storing sales histories associated with a plurality of store locations; a network adapter; and a control circuit. The control circuit is configured to: provide, via the network adapter, a retail task user interface on a user device at a store location; cluster a plurality of store locations based on shared characteristics; determine a local sales forecast value on a future date for the store location based on a sales history of the store location using a first forecast model; determine a group sales forecast value on the future date based on sales histories of other store locations using the first forecast model; determine an adjusted sales forecast for the store location based on the local sales forecast value and the group sales forecast value; and provide the adjusted sales forecast.
Examples provide a shelf location detection system. A shelf is supported by a shelf support arm engaging a notch in a smart shelf support member having a stack of resistors in series within the interior of the shelf support member. A plug on the support arm removably couples to the notch. A sensor detects a change in voltage across at least one resistor in the resistor stack. A location of the shelf on the smart shelf support member is determined using the detected voltage change. A controller on the smart shelf support member transmits the location to a controller on each accessory device on the shelf. The shelf can further include a plurality of resistors connected in series. The accessory device detects changes in voltage through the plurality of resistors and generates an estimated position of the accessory device on the shelf using the change in voltage data.
G01B 7/06 - Measuring arrangements characterised by the use of electric or magnetic techniques for measuring length, width, or thickness for measuring thickness
A47B 57/34 - Cabinets, racks or shelf units, characterised by features for adjusting shelves or partitions with means for adjusting the height of detachable shelf supports consisting of grooved or notched ledges, uprights or side walls the grooved or notched parts being the side walls or uprights themselves
A47F 10/00 - Furniture or installations specially adapted to particular types of service systems, not otherwise provided for
G09F 3/20 - Casings, frames, or enclosures for labels for adjustable, removable, or interchangeable labels
52.
SYSTEM AND METHOD FOR DETERMINATION OF EXPORT CODES
The export of products from a jurisdiction is enabled by choosing export codes from a model. The electronic model comprises a branched tree defining a configuration of the export codes and selection criteria for the codes. The branched tree includes a plurality of branches and leaves. Each of the leaves includes an export code for a product, a probability that the export code for the product is accurate, and a description of the product. The tree is traversed to obtain the codes. The tree is trained to improve the quality of the selection process.
Systems and methods for adaptively managing services using circuit breakers are disclosed. A disclosed method includes: measuring an integration reliability of interaction between a first service executed at a first device and a second service executed at a second device during a past time period, the first service being dependent on the second service for execution; determining an adaptive threshold for a circuit breaker regarding a first time period based on the integration reliability; and executing the first service based on a request within the first time period by calling the second service through the circuit breaker, wherein the circuit breaker trips to stop the calling of the second service when a failure rate of interaction between the first service and the second service in the first time period exceeds the adaptive threshold.
Systems and methods for dynamically disaggregating product variants in online search are disclosed. In some embodiments, a disclosed method includes: obtaining, from a computing device, a search request identifying a query and seeking N items to be displayed on a search result page of a website to a user, wherein N is a positive integer; determining, dynamically based on the query and N, an integer M; searching, based on the query, a database to identify M items associated with the website, wherein the M items comprise at least one subset of items that include at least one variant of a product; generating, from the M items, a ranked list of N items; and transmitting, to the computing device, the ranked list of N items in response to the search request.
A chair includes a frame configured to expand radially outward and collapse radially inward relative to a central longitudinal axis between a folded position and an open position. The frame includes front legs and at least one rear leg. A length of each of the front legs is independently adjustable between a first position and a second position that is longer than the first position. The chair includes a seat bottom held by the frame such that an angle of the seat bottom relative to a level plane is selectively adjustable between at least two different angles by adjusting the length of at least one of the front legs.
A47C 4/28 - Folding chairs with flexible coverings for the seat or back elements
A47C 4/46 - Folding chairs with flexible coverings for the seat or back elements having a frame made of metal with legs pivotably connected to seat or underframe of adjustable type
Systems and methods for distributed order fulfillment are disclosed. Real-time fulfillment data indicating unavailability of a first item identified in an order is received from a first computing device. The real-time fulfillment data is generated in response to an input received by the first computing device. Order update data indicating unavailability of the first item and one or more substitute items is transmitted to a second computing device. The order update data causes the second computing device to generate an interface including the substitute items and a portion of the order update data. A substitute response from the second computing device. In response to receiving the substitute response, The selected substitute item is substituted in place of the first item during fulfillment when the substitute response indicates acceptance the substitute item and the first item is removed from the order when the substitute response indicates rejection of the substitute items.
Systems and methods for recommending items to create advertising campaigns for upcoming events are disclosed. In some embodiments, a disclosed method comprises: identifying at least one upcoming shopping event; determining, based on a machine learning model generated irrespective of any shopping event, a plurality of item-seller combinations each formed by a respective item and a respective seller; performing an allocation of at least one of the item-seller combinations to the at least one upcoming shopping event; generating, for a seller, a customized list of items associated with the at least one upcoming shopping event based on the allocation; and transmitting the customized list of items for the seller to create an advertising campaign.
Systems and methods for traffic measurement are disclosed. An image capture device is configured to generate image data including an area of interest within a physical environment containing at least one engagement feature. The image data is received and model input image data including a plurality of cropped images is generated by applying a zoom-in crop process to the image data. An image processing model generates a person count and dwell time. The image processing model receives the model input image data as an input. An engagement metric is generated based on the person count and the dwell time. The engagement metric is representative of engagement with the at least one engagement feature.
G06V 10/22 - Image preprocessing by selection of a specific region containing or referencing a patternLocating or processing of specific regions to guide the detection or recognition
G06V 10/25 - Determination of region of interest [ROI] or a volume of interest [VOI]
G06V 10/762 - Arrangements for image or video recognition or understanding using pattern recognition or machine learning using clustering, e.g. of similar faces in social networks
G06V 10/766 - Arrangements for image or video recognition or understanding using pattern recognition or machine learning using regression, e.g. by projecting features on hyperplanes
G06V 10/774 - Generating sets of training patternsBootstrap methods, e.g. bagging or boosting
59.
SYSTEMS AND METHODS FOR AUTOMATED ANOMALY DETECTION IN UNIVARIATE TIME-SERIES
Systems and methods of anomaly detection in time-series are disclosed. A time-series dataset is received and a set of segments is iteratively defined from the time-series dataset by identifying a set of changepoints in the time-series dataset based on a changepoint type and a sensitivity parameter, determining whether the set of segments defined by the changepoints satisfy at least one threshold criteria, and modifying the sensitivity parameter when the threshold criteria is not met or outputting the set of segments when the threshold criteria is met. A segment-specific anomaly detection threshold is determined for each segment in the set of segments and a set of anomaly-flagged segments is generated. The set of anomaly flagged segments are generated by an anomaly detection process based on the segment-specific anomaly detection threshold for a corresponding segment. An anomaly-flagged time-series is generated by combining the set of anomaly-flagged segments.
The system includes one or more processors and one or more non-transitory computer-readable storage devices storing instructions that, when executed, cause the one or more processors to perform receiving user utterances, and utilizing a trained natural language processing (NLP) algorithm as one or more layers in a neural network to generate from the one or more user utterances at least one first output of at least one first output layer of the neural network and at least one second output of at least one second output layer of the neural network. The instructions, when executed, also can cause the one or more processors to perform using the trained NLP algorithm to combine the at least one first output of the at least one first output layer of the neural network and the at least one second output of the at least one second output layer of the neural network to create a combined output of the neural network. The at least one first output layer of the neural network can be different than the at least one second output layer of the neural network. The instructions, when executed, also can cause the one or more processors to perform coordinating displaying a customized graphical user interface (GUI) using the combined output of the neural network. Other embodiments and variations are disclosed herein.
G06F 3/0484 - Interaction techniques based on graphical user interfaces [GUI] for the control of specific functions or operations, e.g. selecting or manipulating an object, an image or a displayed text element, setting a parameter value or selecting a range
A system comprises one or more processors and non-transitory computer-readable media storing computing instructions that, when executed, perform operations comprising: generating an adjacency list for candidate items using a distance threshold with the maximum allowable neighbor distance equal to a Siamese model cut-off. The operations can also comprise loading data for the candidate items in the adjacency list and generating graphs of the candidate items in the adjacency list. The operations further can comprise determining, using breakdown logic, first graphs of the graphs that exceed a predetermined size, and building hierarchy dendrograms of nested subclusters of the first graphs. The operations additional can comprise determining cut-off values based on p-th percentiles of density for the first graphs, and identifying recommended variant groups of the candidate item in the nested subclusters of the hierarchy dendrograms below the cut-off values. Other embodiments are disclosed.
G06V 10/762 - Arrangements for image or video recognition or understanding using pattern recognition or machine learning using clustering, e.g. of similar faces in social networks
A system comprises one or more processors and one or more non-transitory computer-readable storage devices storing computing instructions configured to run on the one or more processors and cause the one or more processors to perform operations comprising: receiving a set of images of respective different portions of a label on a package. The operations also can include: determining, using contrast, one or more respective locations in the images of the set of images that are associated with the respective different portions of the label on the package. The operations further can include: providing, for display on a user interface, a flattened reconstruction of the respective different portions of the label on the package based at least in part on the one or more respective locations that have been determined. Other embodiments and features are also disclosed.
G16H 10/60 - ICT specially adapted for the handling or processing of patient-related medical or healthcare data for patient-specific data, e.g. for electronic patient records
G06V 30/142 - Image acquisition using hand-held instrumentsConstructional details of the instruments
G16H 20/10 - ICT specially adapted for therapies or health-improving plans, e.g. for handling prescriptions, for steering therapy or for monitoring patient compliance relating to drugs or medications, e.g. for ensuring correct administration to patients
G16H 30/20 - ICT specially adapted for the handling or processing of medical images for handling medical images, e.g. DICOM, HL7 or PACS
G16Z 99/00 - Subject matter not provided for in other main groups of this subclass
A method can include determining, via a multi-channel text model, a text profanity score for a textual content for an item. The method further can include determining, via a vision model, a vision profanity score for an image content for the item. In addition, the method can include determining whether the text profanity score exceeds a text blocking score. Moreover, the method can include determining whether the vision profanity score exceeds a vision blocking score. The method further can include upon determining that the text profanity score exceeds the text blocking score or that the vision profanity score exceeds the vision blocking score, setting a blocking label for the item in an item database as blocked. Other embodiments are disclosed.
G06Q 50/00 - Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
G06V 10/774 - Generating sets of training patternsBootstrap methods, e.g. bagging or boosting
Some embodiments provide systems to predict reallocation of customer categorization, comprising: a customer database; and a cohort migration prediction system comprising a migration prediction control circuit configured to: identify migration of a first set of customers between multiple cohorts; apply a causation model to at least a first subset of the customer information and identify, based on the application of the causation model, at least a causation factor predicted to at least partially cause a change in behavior resulting in the migration of the first set of customers previously associated with the first cohort, of the first cohort type, to a second cohort of the first cohort type; and apply a prediction model to a subset of the customer information relative to the first cohort, and predict future migration between the first cohort and at least the second cohorts of the first cohort type.
Some embodiments provide retail facility control systems, comprising: a customer database; an algorithm database; a cohort processing system comprising a cohort evaluation control circuit configured to: control a user computing system to render a cohort parameter user interface enabling the user to specify customer cohort type parameters, and receive based on user interaction a specification of at least a first customer cohort type of the plurality of cohort types; identify multiple different first level customizable parameters each corresponding to the first customer cohort type; cause the first user computing system to render a hierarchical parameter interface configured to enable the user to specify respective values for different levels of customizable parameters dependent on the first customer cohort type; apply one or more algorithm models to the customer information based on the customized parameter values and identify cohorts of customers.
In some embodiments, apparatuses and methods are provided herein useful to determining if sensitive data has been exposed externally. In some embodiments, a system for determining if sensitive data has been exposed externally comprises an internal database including a plurality of internal repositories, and a control circuit configured to receive hash search results based on a hash search query to an external database, determine which repositories in the subject group of repositories includes an expression, generate a notification, and transmit the notification.
According to an embodiment of the present disclosure, a system is provided. The system includes a processor and a non-transitory computer-readable medium storing computing instructions. The instructions, when executed on the processor, perform: receiving user search queries and product items, the product items including metadata corresponding to product types, the product types comprising an error, and the error corresponding to one of the product items having a non-compliant product type; modifying the metadata corresponding to the product types based on a product type group to mitigate a computing system from displaying non-compliant material to a user; and in response to a product type of the product type group being the non-compliant product type, performing a computer vision prediction on an image of a product corresponding to the product type to detect a misclassification in the product type group. Other embodiments are disclosed.
Described in detail herein is an autonomous object storage and retrieval system. In one embodiment, an object storage and retrieval system includes a computing system hosting a service application and in communication with a database and storage and retrieval apparatuses configured to store and dispense physical objects. Each storage and retrieval apparatus is in communication with the computing system. The computing system can transmit instructions to a first one of the storage and retrieval apparatuses to render the status of the first physical object on the interactive display of the storage and retrieval apparatus.
G06K 19/07 - Record carriers with conductive marks, printed circuits or semiconductor circuit elements, e.g. credit or identity cards with integrated circuit chips
G06Q 10/08 - Logistics, e.g. warehousing, loading or distributionInventory or stock management
69.
SYSTEMS AND METHODS FOR VARIANT ITEM IDENTIFICATION AND INTERFACE GENERATION
Systems and methods for generating an interface including variant item elements are disclosed. A request for an interface including a search query is received from a first device and a set of candidate items is generated by a first level search model based on the search query. The first level search model generates a baseline value for each item variant in an item catalog including a weighted combination of a relevance label value and an engagement label value. The set of candidate items is selected based on the baseline value. A set of search results is generated by a second level search model based on the set of candidate items. An interface including interface elements representative of one or more item variants in the set of search results is generated and transmitted to the first device.
Systems and methods for prioritizing trailers for unloading freights of the trailers at a distribution center or fulfillment center are disclosed. A disclosed method includes: obtaining, for each of a plurality of trailers carrying freights and waiting at a product receiving center, at least one lever parameter; obtaining, from the database, a ranking model; generating a priority list of the plurality of trailers based on the at least one lever parameter and the ranking model; creating, based at least on the priority list, a notification corresponding to a top trailer ranked at the top of the priority list; and transmitting the notification to at least one mobile device for unloading the freight of the top trailer at the product receiving center.
A system including one or more processors and one or more non-transitory computer-readable media storing computing instructions that, when executed on the one or more processors, cause the one or more processors to perform: determining, by a distributed processing architecture and based on first transaction data of first transactions for first items, first micro-intents; grouping, by the distributed processing architecture, the first micro-intents into clusters; receiving, by a distributed memory architecture, second transaction data of a user transaction from a user interface of an electronic device of a user during a current browsing session of a website; determining, by the distributed processing architecture, one or more second micro-intents; determining, by the distributed processing architecture, that the user is expressing a current micro-intent; and transmitting an instruction to display a user interface element on the user interface of the electronic device. Other embodiments are described.
A method can include receiving a signal from a user device of a user. The method can further include processing, via a machine learning model, user intent labels, wherein: the machine learning model is pre-trained based on historical input data and historical output data associated with multiple users comprising the user, the historical input data comprise historical feature embedding vectors associated with the multiple users, and the historical output data comprise historical intent labels based at least in part on uttered intents of the multiple users. The method can also include processing one or more user intent candidates of the user intent labels. The method can further include processing one or more user interface components for the one or more user intent candidates. Additionally, the method can include transmitting the one or more user interface components to be presented on a user interface executed on the user device of the user. Other embodiments are described.
G06F 3/0484 - Interaction techniques based on graphical user interfaces [GUI] for the control of specific functions or operations, e.g. selecting or manipulating an object, an image or a displayed text element, setting a parameter value or selecting a range
G10L 15/18 - Speech classification or search using natural language modelling
G10L 15/22 - Procedures used during a speech recognition process, e.g. man-machine dialog
74.
SYSTEM AND METHOD FOR DETECTING AND REDACTING INAPPROPRIATE IMAGES
A method can include capturing, via a camera, an image for upload. The method further can include determining a polygon mask layer having one or more polygon masks for a user body in the image, comprising: (a) determining, via a body pose landmarking algorithm, key joint points for the user body based on joint landmarks defined in a configuration set; and (b) determining the polygon masks based on the key joint points and one or more regions of interest defined in the configuration set. The method additionally can include determining a skin mask layer with a skin mask for the image. The method also can include blending the one or more polygon masks and the skin mask into a final mask layer comprising a final mask for the image. The method further can include applying the final mask to the image. Other embodiments are disclosed.
Some embodiments provide retail product ordering systems comprising: a user computing device comprising an application executed by a device control circuit to: receive an audible utterance; controls a product identifier application interface to: apply a tokenizer model and obtain a set of individual search words; apply a series of featurizer models to the search words to generate features; and apply a classifier and extractor model based on the features and generate multiple requested product entities each comprising a respective sub-set of the position labeled product terms; wherein the device control circuit is further configured to access a purchase history database, confirm an accuracy of each of requested product entities relative to a purchase history, generate a listing of determined product identifiers corresponding to the confirmed set of the multiple requested product entities, and control a display system of the user computing device to render the listing of determined product identifiers.
G10L 15/06 - Creation of reference templatesTraining of speech recognition systems, e.g. adaptation to the characteristics of the speaker's voice
G06F 16/683 - Retrieval characterised by using metadata, e.g. metadata not derived from the content or metadata generated manually using metadata automatically derived from the content
G10L 15/02 - Feature extraction for speech recognitionSelection of recognition unit
Methods and apparatuses are provided for use in monitoring product placement within a shopping facility. Some embodiments provide an apparatus configured to determine product placement conditions within a shopping facility, comprising: a transceiver configured to wirelessly receive communications; a product monitoring control circuit coupled with the transceiver; a memory coupled with the control circuit and storing computer instructions that when executed by the control circuit cause the control circuit to: obtain a composite three-dimensional (3D) scan mapping corresponding to at least a select area of the shopping facility and based on a series of 3D scan data; evaluate the 3D scan mapping to identify multiple product depth distances; and identify, from the evaluation of the 3D scan mapping, when one or more of the multiple product depth distances is greater than a predefined depth distance threshold from the reference offset distance of the product support structure.
E01H 5/06 - Apparatus propelled by animal or engine powerApparatus propelled by hand with driven dislodging or conveying elements, e.g. conveying pneumatically dislodging essentially by non-driven elements, e.g. scraper blades
A47F 3/08 - Showcases or show cabinets with arrangements for continuously or intermittently moving the merchandise
A47F 10/00 - Furniture or installations specially adapted to particular types of service systems, not otherwise provided for
A47F 10/02 - Furniture or installations specially adapted to particular types of service systems, not otherwise provided for for self-service type systems, e.g. supermarkets
A47F 10/04 - Furniture or installations specially adapted to particular types of service systems, not otherwise provided for for self-service type systems, e.g. supermarkets for storing or handling self-service hand-carts or baskets
A47L 11/40 - Parts or details of machines not provided for in groups , or not restricted to one of these groups, e.g. handles, arrangements of switches, skirts, buffers or levers
B07C 5/28 - Sorting according to weight using electrical control means
B07C 5/342 - Sorting according to other particular properties according to optical properties, e.g. colour
B60L 53/36 - Means for automatic or assisted adjustment of the relative position of charging devices and vehicles by positioning the vehicle
B60L 53/63 - Monitoring or controlling charging stations in response to network capacity
B60P 3/06 - Vehicles adapted to transport, to carry or to comprise special loads or objects for carrying vehicles
B62B 3/14 - Hand carts having more than one axis carrying transport wheelsSteering devices thereforEquipment therefor characterised by provisions for nesting or stacking, e.g. shopping trolleys
B62B 5/00 - Accessories or details specially adapted for hand carts
B65F 3/00 - Vehicles particularly adapted for collecting refuse
B66F 9/06 - Devices for lifting or lowering bulky or heavy goods for loading or unloading purposes movable, with their loads, on wheels or the like, e.g. fork-lift trucks
E01H 5/12 - Apparatus or implements specially adapted for breaking, disintegrating, or loosening layers of ice or hard snow
G01C 21/20 - Instruments for performing navigational calculations
G01S 1/02 - Beacons or beacon systems transmitting signals having a characteristic or characteristics capable of being detected by non-directional receivers and defining directions, positions, or position lines fixed relatively to the beacon transmittersReceivers co-operating therewith using radio waves
G01S 1/70 - Beacons or beacon systems transmitting signals having a characteristic or characteristics capable of being detected by non-directional receivers and defining directions, positions, or position lines fixed relatively to the beacon transmittersReceivers co-operating therewith using electromagnetic waves other than radio waves
G01S 1/72 - Beacons or beacon systems transmitting signals having a characteristic or characteristics capable of being detected by non-directional receivers and defining directions, positions, or position lines fixed relatively to the beacon transmittersReceivers co-operating therewith using ultrasonic, sonic, or infrasonic waves
G01S 5/16 - Position-fixing by co-ordinating two or more direction or position-line determinationsPosition-fixing by co-ordinating two or more distance determinations using electromagnetic waves other than radio waves
G01S 5/18 - Position-fixing by co-ordinating two or more direction or position-line determinationsPosition-fixing by co-ordinating two or more distance determinations using ultrasonic, sonic, or infrasonic waves
G05B 19/12 - Programme control other than numerical control, i.e. in sequence controllers or logic controllers using record carriers
G05D 1/222 - Remote-control arrangements operated by humans
G05D 1/223 - Command input arrangements on the remote controller, e.g. joysticks or touch screens
G05D 1/226 - Communication links with the remote-control arrangements
G05D 1/227 - Handing over between remote control and on-board controlHanding over between remote control arrangements
G05D 1/247 - Arrangements for determining position or orientation using signals provided by artificial sources external to the vehicle, e.g. navigation beacons
G05D 1/249 - Arrangements for determining position or orientation using signals provided by artificial sources external to the vehicle, e.g. navigation beacons from positioning sensors located off-board the vehicle, e.g. from cameras
G05D 1/43 - Control of position or course in two dimensions
G05D 1/617 - Safety or protection, e.g. defining protection zones around obstacles or avoiding hazards
G05D 1/648 - Performing a task within a working area or space, e.g. cleaning
G05D 1/69 - Coordinated control of the position or course of two or more vehicles
G05D 1/692 - Coordinated control of the position or course of two or more vehicles involving a plurality of disparate vehicles
G05D 1/693 - Coordinated control of the position or course of two or more vehicles for avoiding collisions between vehicles
G05D 1/695 - Coordinated control of the position or course of two or more vehicles for maintaining a fixed relative position of the vehicles, e.g. for convoy travelling or formation flight
G05D 1/81 - Handing over between on-board automatic and on-board manual control
G06F 3/01 - Input arrangements or combined input and output arrangements for interaction between user and computer
G06K 7/10 - Methods or arrangements for sensing record carriers by electromagnetic radiation, e.g. optical sensingMethods or arrangements for sensing record carriers by corpuscular radiation
G06K 7/14 - Methods or arrangements for sensing record carriers by electromagnetic radiation, e.g. optical sensingMethods or arrangements for sensing record carriers by corpuscular radiation using light without selection of wavelength, e.g. sensing reflected white light
G06Q 10/02 - Reservations, e.g. for tickets, services or events
G06Q 10/0631 - Resource planning, allocation, distributing or scheduling for enterprises or organisations
G06Q 10/08 - Logistics, e.g. warehousing, loading or distributionInventory or stock management
G06Q 50/40 - Business processes related to the transportation industry
G06T 7/593 - Depth or shape recovery from multiple images from stereo images
G06T 7/73 - Determining position or orientation of objects or cameras using feature-based methods
G06V 20/20 - ScenesScene-specific elements in augmented reality scenes
G06V 20/40 - ScenesScene-specific elements in video content
G06V 20/52 - Surveillance or monitoring of activities, e.g. for recognising suspicious objects
G06V 20/56 - Context or environment of the image exterior to a vehicle by using sensors mounted on the vehicle
G06V 20/58 - Recognition of moving objects or obstacles, e.g. vehicles or pedestriansRecognition of traffic objects, e.g. traffic signs, traffic lights or roads
H02J 7/00 - Circuit arrangements for charging or depolarising batteries or for supplying loads from batteries
H04B 1/38 - Transceivers, i.e. devices in which transmitter and receiver form a structural unit and in which at least one part is used for functions of transmitting and receiving
H04L 67/12 - Protocols specially adapted for proprietary or special-purpose networking environments, e.g. medical networks, sensor networks, networks in vehicles or remote metering networks
H04L 67/143 - Termination or inactivation of sessions, e.g. event-controlled end of session
H04N 5/77 - Interface circuits between an apparatus for recording and another apparatus between a recording apparatus and a television camera
H04N 7/18 - Closed-circuit television [CCTV] systems, i.e. systems in which the video signal is not broadcast
H04N 13/282 - Image signal generators for generating image signals corresponding to three or more geometrical viewpoints, e.g. multi-view systems
H04W 4/02 - Services making use of location information
H04W 4/021 - Services related to particular areas, e.g. point of interest [POI] services, venue services or geofences
H04W 4/029 - Location-based management or tracking services
H04W 4/30 - Services specially adapted for particular environments, situations or purposes
H04W 4/33 - Services specially adapted for particular environments, situations or purposes for indoor environments, e.g. buildings
H04W 4/40 - Services specially adapted for particular environments, situations or purposes for vehicles, e.g. vehicle-to-pedestrians [V2P]
H04W 4/80 - Services using short range communication, e.g. near-field communication [NFC], radio-frequency identification [RFID] or low energy communication
77.
AUTOMATED STORAGE AND RETRIEVAL SYSTEM WITH MODULAR TRANSIT AREA AND METHOD OF CONSTRUCTION
There are provided systems and methods that may involve transit areas at automated storage and retrieval systems. In one form, the system may include a storage structure including storage locations and pathways to be traversed by mobile robots to access the storage locations. The system may also include a transit area adjoining the storage structure and providing access to mobile robots. The transit area may include a frame portion formed of beams for coupling to the storage structure and a floor supported by the frame portion. The floor may include panels with at least one panel that may include guidelines at predetermined locations to facilitate movement of the mobile robots thereon. There is also provided a panel and a method of construction.
G05D 1/244 - Arrangements for determining position or orientation using passive navigation aids external to the vehicle, e.g. markers, reflectors or magnetic means
B25J 5/02 - Manipulators mounted on wheels or on carriages travelling along a guideway
B66F 9/06 - Devices for lifting or lowering bulky or heavy goods for loading or unloading purposes movable, with their loads, on wheels or the like, e.g. fork-lift trucks
78.
LIGHTING OF 3-DIMENSIONAL MODELS IN AUGMENTED REALITY
A system including one or more processors and one or more non-transitory computer-readable media storing computing instructions, that when executed on the one or more processors, cause the one or more processors to perform operations including: determining a view mode in which to render a 3-dimensional (3D) model of an item on an electronic device based on a selection by a user; when the view mode is a stand-alone 3D model view, positioning a virtual light in a fixed position with respect to the 3D model of the item while a camera of a user device moves around the 3D model of the item; and when the view mode is an augmented reality (AR) environment, projecting the virtual light outward from a position of a lens of the camera to allow the virtual light to move as the camera moves with respect to the 3D model of the item. Other embodiments are disclosed.
A system including one or more processors and one or more non-transitory computer-readable media storing computing instructions that, when executed on the one or more processors, cause the one or more processors to perform operations including: running one or more test cases using a version of an artifact in an environment; detecting a modification to the version of the artifact based on a release of a newer version of the artifact; in response to detecting the modification, generating a modified version of the artifact to incorporate the modification; selecting a first artifact from a list of one or more artifacts comprising the modified version of the artifact; deploying the first artifact, by using an internet protocol (IP) address, into a networking sandbox corresponding to a particular objective; and building a second artifact based on changes implemented to the first artifact. Other embodiments are described.
Systems and methods for generating an electronic planogram optimized for space elasticity calculating a space elasticity include training a constrained linear regression model using a first training dataset, training a multiple non-linear regression model based on a second training dataset including, training a non-linear multiple-constraint mixed integer optimization model based at least in part on an output of the constrained linear regression model and an output of the multiple non-linear regression model, and generating an electronic planogram optimized for space elasticity. For each item category, a space elasticity is determined by fitting the constrained linear regression model, the multiple non-linear regression model is applied to determine a cross-space elasticity, and the non-linear multiple-constraint mixed integer optimization model generates a category space allocation. The category space allocation for each item category is aggregated to generate the electronic planogram. The electronic planogram is validated based on received sales data.
A system including a processor and non-transitory computer-readable media storing computing instructions that, when executed on the processor, perform a method that includes training a machine learning model by using a training data set to determine taxonomy embeddings for taxonomies based on training features that include a context word vector, a center word vector, and a probability. The probability corresponds to a function between the context word vector and the center word vector. The taxonomy embeddings represent at least a first level of a taxonomy and a second level of the taxonomy. The machine learning model, as trained, is used to determine the taxonomy embeddings based on taxonomy identifiers and reduce the taxonomy embeddings by removing at least one taxonomy of the taxonomies that are below a threshold to thereby reduce the taxonomies. The threshold comprises a number of aggregate page views. The taxonomies, as reduced, are mapped to publisher placements to display a product within the taxonomies, as reduced, on a graphical user interface (GUI).
A system including one or more processors; and one or more non-transitory computer-readable media storing computing instructions, that when executed on one or more processors, cause the one or more processors to perform certain operations including: training a first submodel of a machine learning model by at least (i) creating a cumulative addition of light gradient boosting models, and (ii) determining weights for aggregation with probabilities from the light gradient boosting models; generating, using the machine learning model, as trained, classifications for nodes, wherein the classifications comprise unions of outputs of the first submodel of the machine learning model and outputs of a second submodel of the machine learning model; and based on the classifications for the nodes, automatically tagging a portion of the nodes as deliverable in an online platform. Other embodiments are described.
A system including one or more processors and one or more non-transitory computer-readable media storing computing instructions that, when executed on the one or more processors, cause the one or more processors to perform operations: generating a combination image that depicts subject matter engaging with a first item of a first search result and at least one of two or more second items of two or more second search results, wherein the combination image incorporates a background of an image of a user-defined subject matter; and generating one or more user interface elements to be displayed in conjunction with the combination image; and enabling the one or more user interface elements to perform one or more operations, wherein the combination image includes one or more of: a two-dimensional image, a three-dimensional image, a three-dimensional model, a video, or an animation. Other embodiments are described.
G06F 16/583 - Retrieval characterised by using metadata, e.g. metadata not derived from the content or metadata generated manually using metadata automatically derived from the content
G06N 7/01 - Probabilistic graphical models, e.g. probabilistic networks
Systems and methods of monitoring location labels on product storage structures of a product storage facility include an image capture device that captures images of the product storage structures and a computing device programmed to analyze the images of the product storage structures captured by the image capture device to detect location labels located on the product storage structures. Based on detection that one or more location labels located on the product storage structures are associated with an error condition, the computing device generates a location label alert indicating at least one location label that requires a location label check by a worker at the product storage facility. A mobile application executable on a device of the worker at the product storage facility displays a user interface that lists location labels alerts and permits the worker to print replacement labels for product structures associated with the alerts.
A system including one or more processors and one or more non-transitory computer-readable media storing computing instructions that, when executed on the one or more processors, cause the one or more processors to perform operations: generating a preliminary dock-out time boundary based on one or more delivery time windows for one or more deliveries; processing two parallel data flow paths to locate a range of dock-out times associated with one or more time constraints of the one or more delivery time windows; and transmitting the range of dock-out times to a user, wherein a trailer is dispatched to a distribution center between the range of dock-out times to load the trailer and deliver the one or more deliveries within the time constraints of the one or more delivery time windows based on a flexible period of time. Other embodiments are described.
Systems and methods of monitoring location labels on product storage structures of a product storage facility include an image capture device that captures images of the product storage structures and a computing device programmed to analyze the images of the product storage structures captured by the image capture device to detect location labels located on the product storage structures. Based on detection that one or more location labels located on the product storage structures are associated with an error condition, the computing device generates a location label alert indicating at least one location label that requires a location label check by a worker at the product storage facility. A mobile application executable on a device of the worker at the product storage facility displays a user interface that lists location labels alerts and permits the worker to print replacement labels for product structures associated with the alerts.
A method for purchasing an item using a mobile device is provided. The method includes but is not limited to inputting identification information into the mobile device which identifies the item for purchase and generating an order for the item identified by the identification information. The method also includes but is not limited to displaying on a display of the mobile device an optical machine-readable representation of the order.
Systems and methods for generating and using seasonal affinity scores is disclosed. A set of user-specific historical transaction data is obtained and a user-specific affinity score including at least one of a user-specific season affinity score or a user-specific seasonal theme affinity score is determined by determining one or more product affinity scores for a set of product taxonomies and combining the one or more product affinity scores with one or more product index scores to generate the user-specific affinity score. The product affinity scores are determined by a trained scoring calculation model configured to receive the set of user-specific historical transaction data. One or more interface elements are selected based on the user-specific affinity score and an interface is generated including the one or more interface elements.
Systems and methods conversational shopping based on machine learning using both text and image data are disclosed. In some embodiments, a disclosed method includes: obtaining, from a computing device, a search request identifying a reference image representing a first product and a textual query associated with the reference image; computing a text embedding in an embedding space based on the textual query; computing an image embedding in the embedding space based on the reference image; determining, based on at least one machine learning model, a target image representing a second product based on the text embedding and the image embedding; and transmitting, to the computing device, the target image in response to the search request.
Systems and methods of generating inputs for simulation of a target system are disclosed. A set of input generation parameters are received and a simulation time period for a simulation of a target system is determined based on the set of input generation parameters. One of a plurality of input generation subsystems is selected for the time period. Each of the plurality of input generation subsystems is configured to generate a set of simulation inputs for one of a plurality of defined time periods. At least one of the plurality of input generation subsystems is configured to generate a stochastic set of simulation inputs. The set of simulation inputs is generated by implementing a input generation process defined by the selected one of the plurality of input generation subsystems. A statistical simulation of the target system is implemented based on the set of simulation inputs.
G06Q 10/0637 - Strategic management or analysis, e.g. setting a goal or target of an organisationPlanning actions based on goalsAnalysis or evaluation of effectiveness of goals
92.
METHODS AND APPARATUS FOR GENERATING TARGET LABELS FROM MULTI-DIMENSIONAL TIME SERIES DATA
This application relates to apparatus and methods for generating target labels from multi-dimensional time series data. In some examples, a computing device receives parameters that correspond to each one of a plurality of sellers, and gathers a set of relevant time series metrics for each one of the sellers based on the respective seller's parameters over a time period. The computing device calculates aggregated metrics for each corresponding subperiod based on each seller's respective set of relevant time series metrics. The computing device generates seller persona clusters based at least in part on the calculated aggregated metrics for each seller. The computing device calculates a score for the generated seller persona clusters, and when the score is greater than or equal to a predetermined threshold value, generates a respective target label for each of the clusters, and applies each respective target label to the sellers within each respective cluster.
A system is provided for use at an exit of a retail facility. The system includes a scanner, a floor scale, and a control circuit communicatively coupled to the scanner and the floor scale. The scanner is proximate to the exit of the retail facility and at a separate location than a point of sale checkout station of the retail facility. The scanner is configured to capture an electronic code associated with a receipt of items purchased at the retail facility. The floor scale is proximate to the scanner and is configured to weigh a portable carrier containing the items when the portable carrier is positioned on a surface of the floor scale. The control circuit determines whether an estimated total weight of the purchased items associated with the receipt matches within a threshold with an actual weight of the portable carrier received from the floor scale.
G01G 23/365 - Indicating the weight by electrical means, e.g. using photoelectric cells involving comparison with a reference value
G01G 19/414 - Weighing apparatus or methods adapted for special purposes not provided for in groups with provisions for indicating, recording, or computing price or other quantities dependent on the weight using electromechanical or electronic computing means using electronic computing means only
An anti-skimming device includes a base configured to be mounted to at least one of a support structure or a card reader device. The base includes mounting openings configured to receive mounting hardware for securing the base to the at least one of the support structure or the card reader device. An arm extends outward from the base. The arm includes a flange extending such that a gap is defined between the flange and the base. The gap is configured to receive at least portion of the card reader device therein such that the flange of the arm overlaps a portion of a front side of the card reader device.
G07F 7/08 - Mechanisms actuated by objects other than coins to free or to actuate vending, hiring, coin or paper currency dispensing or refunding apparatus by coded identity card or credit card
96.
SYSTEMS AND METHODS FOR USE AT AN EXIT OF A RETAIL FACILITY
A system is provided for use at an exit of a retail facility. The system includes a scanner, a floor scale, and a control circuit communicatively coupled to the scanner and the floor scale. The scanner is proximate to the exit of the retail facility and at a separate location than a point of sale checkout station of the retail facility. The scanner is configured to capture an electronic code associated with a receipt of items purchased at the retail facility. The floor scale is proximate to the scanner and is configured to weigh a portable carrier containing the items when the portable carrier is positioned on a surface of the floor scale. The control circuit determines whether an estimated total weight of the purchased items associated with the receipt matches within a threshold with an actual weight of the portable carrier received from the floor scale.
G01G 19/415 - Weighing apparatus or methods adapted for special purposes not provided for in groups with provisions for indicating, recording, or computing price or other quantities dependent on the weight using electromechanical or electronic computing means using electronic computing means only combined with recording means
G06K 7/14 - Methods or arrangements for sensing record carriers by electromagnetic radiation, e.g. optical sensingMethods or arrangements for sensing record carriers by corpuscular radiation using light without selection of wavelength, e.g. sensing reflected white light
G06K 19/06 - Record carriers for use with machines and with at least a part designed to carry digital markings characterised by the kind of the digital marking, e.g. shape, nature, code
Provided are check-in to checkout systems and methods. The system includes a point of sale, a display, a mobile device, and a backend system. When the POS starts a transaction, such as, but not limited to scanning an item, the POS generates a transaction/basket identification. In response to starting the transaction, the POS sends the transaction/basket ID to the display in the form of a QR code or one-dimensional barcode. The mobile device operating a mobile application scans and captures the displayed code and reports to the backend systems. The backend systems then send a check-in event, which includes gathered data by the backend systems, to the POS and the POS acknowledges receipt of the message. At this point, a notification may be sent to the mobile application that the check-in was successful and a link is established for flow of information.
In some embodiments, apparatuses and methods are provided herein useful to processing product returns. In some embodiments, a system for processing returns comprises a POS terminal located in a retail facility and configured to receive an order identifier associated with an online order that includes a product purchased from a third-party seller via the retailer's website, wherein the retail facility is a brick-and-mortar facility associated with the retailer, and wherein the third-party seller is not the retailer, and transmit, to a control circuit, the order identifier, a database configured to store order information, and the control circuit configured to receive the order identifier, determine the product, determine a refund amount for the product, determine a location to which the product should be returned, generate a return label, create a return transaction for the product, and transmit the return label, wherein the POS terminal is configured to print the return label.
G06Q 20/40 - Authorisation, e.g. identification of payer or payee, verification of customer or shop credentialsReview and approval of payers, e.g. check of credit lines or negative lists
A system comprising one or more processors and one or more non-transitory computer-readable media storing computing instructions, that when executed on the one or more processors, cause the one or more processors to perform: receiving stock images comprising an anchor garment; automatically identifying the anchor garment and complementary garments within the stock images; selecting an image of the stock images in which a mask area of a first complementary garment of the complementary garments as a ratio of an area of the anchor garment is largest over other complementary garments of the complementary garments; performing an image search, using the image, in an item catalog for similar garments to the first complementary garment; and displaying, on a user interface, an avatar wearing the anchor garment and at least one of the similar garments. Other embodiments are disclosed.
A method including pre-screening one or more second images from a database for a search result based on one or more substring distances between one or more first binary substrings for a first image and one or more second binary substrings for the one or more second images, comprises: determining the one or more substring distances between one or more substring pairs of the one or more first binary substrings and the one or more second binary substrings of the one or more second images, and upon determining that the one or more substring distances and the one or more second binary substrings are not greater than one or more substring distance thresholds, including the one or more second images in the search result. The method further can include after pre-screening, determining one or more image distances for one or more third images of the search result. The method can also include when the one or more image distances for the one or more third images are greater than a predetermined image distance threshold, removing the one or more third images from the search result. Other embodiments are disclosed.
G06F 16/56 - Information retrievalDatabase structures thereforFile system structures therefor of still image data having vectorial format
G06F 16/532 - Query formulation, e.g. graphical querying
G06F 16/583 - Retrieval characterised by using metadata, e.g. metadata not derived from the content or metadata generated manually using metadata automatically derived from the content
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