A system including a processor and a non-transitory computer-readable media storing computing instructions that, when executed on the processor, cause the processor to perform operations comprising receiving user session information for a current session for a user; generating, using a ranking model, a first listing of items based on the user session information; generating, using a query model, a query intent measurement based on the user session information; generating, using a cart context model, a cart context measurement based on the user session information; generating a second listing of items based on the first listing of items, the query intent measurement, and the cart context measurement; and displaying the second listing of items in a graphical user interface to the user. Other embodiments are described.
A method can include upon receiving, from a policy update engine, one or more hold-time recommendations, selectively determining, based on one or more selection rules, one or more selected hold-time values of the one or more hold-time recommendations. The method further can include implementing the one or more selected hold-time values, as determined. The method additionally can include after implementing the one or more selected hold-time values, determining one or more effects associated with the one or more selected hold-time values. The method also can include transmitting the one or more selected hold-time values and the one or more effects to the policy update engine for retraining. Other embodiments are disclosed.
G06Q 10/0637 - Gestion ou analyse stratégiques, p. ex. définition d’un objectif ou d’une cible pour une organisationPlanification des actions en fonction des objectifsAnalyse ou évaluation de l’efficacité des objectifs
G06Q 10/0631 - Planification, affectation, distribution ou ordonnancement de ressources d’entreprises ou d’organisations
G06Q 30/0202 - Prédictions ou prévisions du marché pour les activités commerciales
In some embodiments, apparatuses and methods are provided herein useful to presenting information to customers. In some embodiments, an augmented reality system for presenting information to customers comprises a personalization server configured to store personalized data for the customers, receive an indication of a customer, receive a product identifier for a product, retrieve personalized data for the customer, and transmit the personalized data for the customer, an application configured to be executed by the mobile device, the application when executed by the mobile device causing the mobile device to capture images of products in a retail facility, receive user input to select the product from the images of products, receive the personalized data for the customer, generate an augmented reality presentation, and present the augmented reality presentation, and a control circuit configured to identify the product, and determine the product identifier for the product.
G06Q 30/0207 - Remises ou incitations, p. ex. coupons ou rabais
G06V 10/22 - Prétraitement de l’image par la sélection d’une région spécifique contenant ou référençant une formeLocalisation ou traitement de régions spécifiques visant à guider la détection ou la reconnaissance
G06V 10/26 - Segmentation de formes dans le champ d’imageDécoupage ou fusion d’éléments d’image visant à établir la région de motif, p. ex. techniques de regroupementDétection d’occlusion
G06V 20/20 - ScènesÉléments spécifiques à la scène dans les scènes de réalité augmentée
7.
IN-SCOPE AND OUT-OF-SCOPE RFID-BASED ITEM MANAGEMENT
Examples provide a system for managing inventory updates based on RFID data using product in-scope and out-of-scope rules (PISOS). The PISOS system adjusts on-hand inventory count values for an item upward based on item scan data if the scan data identifies a higher number of instances of a given item than is recorded in on-hand inventory. The PISOS system does not permit adjusting on-hand inventory downward based on the scan data indicating fewer instances of the given item within an item display area than is recorded in on-hand inventory unless a set of PISOS rules indicate the given item is in-scope for downward adjustments. If the item is out-of-scope, no downward adjustments to on-hand inventory are made based on the number of items detected during the scan.
G06Q 10/087 - Gestion d’inventaires ou de stocks, p. ex. exécution des commandes, approvisionnement ou régularisation par rapport aux commandes
G06K 7/10 - Méthodes ou dispositions pour la lecture de supports d'enregistrement par radiation électromagnétique, p. ex. lecture optiqueMéthodes ou dispositions pour la lecture de supports d'enregistrement par radiation corpusculaire
8.
SYSTEMS AND METHODS OF MAPPING AN INTERIOR SPACE OF A PRODUCT STORAGE FACILITY
Systems and methods for use in mapping an interior space of a product storage facility include at least one sensor that captures distance measurement data with respect to an interior space of the product storage facility. A computing device obtains a first image representing a 2-dimensional map of the interior space of the product storage facility and processes this image to define a boundary of the interior space of the product storage facility and detect individual structures located within the interior space of the product storage facility. Then, the computing device defines separate department areas, assigns a department label to each of the separate department areas, and converts the 2-dimensional map representing the detected structures and the defined separate department areas and the department labels assigned to the separate department areas into a second image representing a 3-dimensional map of the interior space of the product storage facility.
Systems and methods for image retrieval are disclosed. In an example, sets of catalog images are received, wherein each set of catalog images is associated with a catalog item of a plurality of catalog items. Respective catalog embeddings representing each set of catalog images are generated. Query images associated with a query item are received. Query embeddings representing the query images are generated. Based on comparisons of the query images and the catalog images, select a candidate set of catalog items from the plurality of catalog items. Based on a comparison of the query embeddings and respective catalog embeddings associated with respective catalog items of the candidate set, generate respective similarity scores. Based on the similarity scores, determine that the query item is similar to a candidate catalog item, and in response identify the query item for review.
Systems and methods for forecasting energy utilization of charging stations to determine charging station allocation are disclosed. In some embodiments, a disclosed method includes: receiving a forecast request seeking utilization of electric vehicle (EV) charging stations at a location in a future time period; determining at least one EV related feature based on the forecast request; computing at least one forecasted feature value for the at least one EV related feature associated with the location in the future time period; generating, using a utilization model, forecasted utilization data based on the at least one forecasted feature value; and transmitting the forecasted utilization data to a computing device.
G06Q 10/04 - Prévision ou optimisation spécialement adaptées à des fins administratives ou de gestion, p. ex. programmation linéaire ou "problème d’optimisation des stocks"
H02J 3/00 - Circuits pour réseaux principaux ou de distribution, à courant alternatif
12.
SYSTEMS AND METHODS OF USING CACHED IMAGES TO DETERMINE PRODUCT COUNTS ON PRODUCT STORAGE STRUCTURES OF A PRODUCT STORAGE FACILITY
Systems and methods of detecting and recognizing products on product storage structures of a product storage facility include an image capture device that moves about and captures images of the product storage structures at the product storage facility. A computing device processes the obtained images to detect and identify the products on the product storage structure, crops each of the identified individual products from the image to generate a plurality of cropped images and generates an image histogram template, feature vector template and location information template for each of the cropped images. The cropped images are stored in an electronic database and represent a reference model for each of the identified individual products and are stored in association with the generated image histogram template, feature vector template and location information template to facilitate recognition of products subsequently captured on the product storage structure by the image capture device.
G06F 16/51 - IndexationStructures de données à cet effetStructures de stockage
G06F 16/538 - Présentation des résultats des requêtes
G06Q 10/087 - Gestion d’inventaires ou de stocks, p. ex. exécution des commandes, approvisionnement ou régularisation par rapport aux commandes
G06V 10/50 - Extraction de caractéristiques d’images ou de vidéos en effectuant des opérations dans des blocs d’imagesExtraction de caractéristiques d’images ou de vidéos en utilisant des histogrammes, p. ex. l’histogramme de gradient orienté [HoG]Extraction de caractéristiques d’images ou de vidéos en utilisant l’addition des valeurs d’intensité d’imageAnalyse de projection
G06V 10/75 - Organisation de procédés de l’appariement, p. ex. comparaisons simultanées ou séquentielles des caractéristiques d’images ou de vidéosApproches-approximative-fine, p. ex. approches multi-échellesAppariement de motifs d’image ou de vidéoMesures de proximité dans les espaces de caractéristiques utilisant l’analyse de contexteSélection des dictionnaires
G06V 20/62 - Texte, p. ex. plaques d’immatriculation, textes superposés ou légendes des images de télévision
13.
ACTIVE LEARNING FOR DETECTION LABELING VIA FOUNDATION MODELS
Examples provide active learning for effective computer vision (CV) item detection labeling using foundation models to generate updated training data for retraining CV item detection models. Raw image data of shopping carts in a retail facility are analyzed by a pretrained CV item detection model to identify items in the carts. The detected items are labeled and enclosed in bounding boxes. A set of foundation models mask the detected items in the cart images. Predicted labels for the undetected and unmasked items in the cart images are generated. Predicted bounding boxes enclosing the unmasked items undetected by the CV item detection model are generated. The predicted bounding boxes and predicted labels are merged with the detected items bounding boxes and labels to generate updated training data for dynamically retaining the CV item detection model to detect future occurrences of the undetected items in cart images with greater accuracy and efficiency.
G06V 10/764 - Dispositions pour la reconnaissance ou la compréhension d’images ou de vidéos utilisant la reconnaissance de formes ou l’apprentissage automatique utilisant la classification, p. ex. des objets vidéo
G06V 10/74 - Appariement de motifs d’image ou de vidéoMesures de proximité dans les espaces de caractéristiques
G06V 10/82 - Dispositions pour la reconnaissance ou la compréhension d’images ou de vidéos utilisant la reconnaissance de formes ou l’apprentissage automatique utilisant les réseaux neuronaux
G06V 10/75 - Organisation de procédés de l’appariement, p. ex. comparaisons simultanées ou séquentielles des caractéristiques d’images ou de vidéosApproches-approximative-fine, p. ex. approches multi-échellesAppariement de motifs d’image ou de vidéoMesures de proximité dans les espaces de caractéristiques utilisant l’analyse de contexteSélection des dictionnaires
14.
SYSTEMS AND METHODS OF CONTROLLING RETAIL PRODUCT ALLOCATION AND RETAIL MARKET VARIATIONS BASED ON CUSTOMIZED INSIGHT
Some embodiments provide systems to control customized retail product performance information, comprising: a linkage mapping system to define and update linkings within a knowledge graph; a personalization recommendation system controlling different display systems to control graphical user interfaces presenting customized anomaly notification information specific to intended recipients as a function of the linkings; and a community detection system applying a set of machine learning community detection models to identify additional relationships between two or more of the entity nodes, based on feedback data from multiple intended recipients, and cause the linkage mapping system to update the multi-level linkages to embed one or more additional association links between the two or more of the entity nodes; wherein the personalization recommendation system is configured to control, based on the updated additional association links, a first graphical user interface to present first customized anomaly notification information specific to a first intended recipient.
Examples provide a system and method for dynamically filtering candidate item identifiers (IDs) from a pool of item IDs in real-time for automatic labeling of images for use as training data used to train computer vision (CV) models. Images of carts are paired with item receipts. Candidate item IDs are extracted from the receipts. Item recognition inference results generated by CV models are used to pair images of individual items with item IDs identifying the item in each item image. As each candidate item ID is assigned to an item image, the item ID is dynamically filtered. Any candidate item IDs remaining after filtering are assigned to any item images failing to pair with an item ID based on the infer results. The results are presented for review and status update via a user interface device for faster and more accurate auto-labeling of training data for CV models.
G06T 7/187 - DécoupageDétection de bords impliquant des croissances de zonesDécoupageDétection de bords impliquant des fusions de zonesDécoupageDétection de bords impliquant un étiquetage de composantes connexes
16.
PROGRESSIVE IMAGE DATA CURATION FOR IMPROVED TRAINING IMAGE QUALITY
Examples provide a system for generating image-based training data using progressive data curation. An anchor image of a selected item and historical receipts including the selected item generated during a dynamic receipt retrieval time period are obtained. Images of the carts including the selected item paired with the receipts are analyzed and cropped to isolate the selected item from each cart image. An embedding model generates embeddings representing the anchor image and the cropped images of the selected item. A similarity of the cropped image embeddings to the anchor image embedding is calculated using a similarity metric. The cropped image embeddings are ranked based on the calculated similarity to the anchor image. The images having the highest rank and greatest similarity to the anchor image are selected for inclusion in training data used to train computer vision models to detect and/or recognize the selected item in images of various objects.
In some embodiments, apparatuses and methods are provided herein useful to processing captured images. In some embodiments, there is provided a system for processing captured images of objects including a memory and a control circuit executing a trained machine learning model. The memory may be configured to store a plurality of images comprising first images and second images. The control circuit may be configured to: allocate each of the first images into one of a plurality of datasets; cluster each image in the dataset into one of a plurality of groups; select a sample from at least one of the plurality of groups; cluster each of the second images into one of dominant product identifier group and a non-dominant product identifier group; select a sample from the dominant product identifier group and a sample from the non-dominant product identifier group; and output the selected sample.
G06Q 10/087 - Gestion d’inventaires ou de stocks, p. ex. exécution des commandes, approvisionnement ou régularisation par rapport aux commandes
G06V 10/762 - Dispositions pour la reconnaissance ou la compréhension d’images ou de vidéos utilisant la reconnaissance de formes ou l’apprentissage automatique utilisant le regroupement, p. ex. de visages similaires sur les réseaux sociaux
18.
SYSTEM AND METHOD FOR DETECTING OBJECT COLLISIONS IN AUGMENTED REALITY IMAGES
A method can include capturing, in real-time via a camera, an image of a real environment. The method further can include determining, using the image, a primary plane in the real environment. The method additionally can include rendering, in real-time on a display device for a user, a virtual object in the image of the real environment. The method also can include detecting a collision by the virtual object in the image, comprising: (a) projecting the virtual object onto the primary plane as a 2D resting plane for the virtual object; (b) determining tracking rays for the virtual object, wherein the tracking rays connect vertices of the 2D resting plane to a viewpoint from the camera; and (c) determining the collision based on whether the tracking rays intersect with a plane of one or more existing physical objects in the image. The method further can include upon determining that the collision is detected, outputting a haptic effect indicating the collision. Other embodiments are disclosed.
Examples a digital tag integration system using modular data to populate digital tags with item data. In some examples, a tag manager obtains a tag unique identifier (UID) for each digital tag associated with a modular display in accordance with a customized scan sequence. Each digital tag is temporarily matched to an item UID having the same position in an item placement sequence as the digital tag without requiring a user to scan the UID on the physical items. The temporary tag-item pairing can be undone while setting the modular is in-progress. When the number of tag-item pairs is equal to an expected number for a portion of the modular display, the digital tags are linked to the paired items. Linked digital tags are populated with item data for linked items. When the linked digital tag is reset, the digital tag is updated back to an initial unlinked state.
G09F 3/20 - Armatures, cadres ou entourages pour étiquettes pour des étiquettes réglables, mobiles ou interchangeables
G06K 7/14 - Méthodes ou dispositions pour la lecture de supports d'enregistrement par radiation électromagnétique, p. ex. lecture optiqueMéthodes ou dispositions pour la lecture de supports d'enregistrement par radiation corpusculaire utilisant la lumière sans sélection des longueurs d'onde, p. ex. lecture de la lumière blanche réfléchie
Garden ornaments made primarily of textiles; accessories for lawn ornaments made primarily of textiles or plastic, namely, outfits, costumes, or apparel for geese lawn ornaments
Some embodiments provide a system to control retail product allocation, comprising: an anomaly detection system applying a series of anomaly detection models to business metric data to identify an anomaly of a category of products; a contextualization detection system applying contextual models to data relative to the anomaly and identifying contextual factors; a causal detection system applying causal inference and determination models to sets of relevance data as a function of the contextual factors to determine influence attribution factors that are predicted to have been factors in causing the threshold variation, and apply attribution prioritization models to define relevancy scores to the influence attribution factors and prioritize the influence attribution factors; a personalization recommendation system applying personalization models to the prioritized influence attribution factors and the contextual factors as a
This application is directed to systems and methods for identifying relevant information items on a cloud-based service platform. In some embodiments, a disclosed method includes obtaining one or more query messages having a natural language format and generating a user request based on the one or more query messages. The user request includes item information of one or more items, a fulfillment type for managing the one or more items, and a data operation type for processing the item information. The disclosed method further includes identifying a target user and an information source including candidate information items associated with the item information based on the data operation type, generating one or more information items from the candidate information items provided by the information source based on the fulfillment type, and generating instructions to display the one or more information items on an electronic device associated with the target user.
Systems and methods of updating templates for use in recognizing individual products in images captured at a product storage facility include an image capture device that captures one or more images of product storage structure at a product storage facility, a computing device in communication with the image capture device, and an electronic database that stores keyword model templates and feature model templates associated with images of previously recognized individual products detected at the product storage facility. The computing device obtains the keyword and feature model templates associated with a recognized product from the electronic database, extracts the keywords from the products associated with the obtained keyword model templates, identifies products that are similar to the recognized product, and updates the keyword model template for each of the products to include must keywords and negative keywords, facilitating recognition of products in subsequent images captured by the image capture device.
In some embodiments, apparatuses and methods are provided herein useful to presenting packing instructions to a user. In some embodiments, a system for presenting packing instructions to a user comprises a database configured to store packing information and item visualizations, wherein the packing information includes placements of items in orders in containers, and wherein the item visualizations depict appearances of items sold by the retailer, a control circuit configured to receive an order identifier for an order, retrieve packing information associated with the order and item visualizations for the items in the order, generate a packing visualization for the order, wherein the packing visualization for the order depicts placement of the items in the order in the container, transmit, to a display device for presentation, the packing visualization for the order, and a display device configured to present the packing visualization for the order to the user.
Vehicle air conditioning system kits primarily comprised of a metal fitting for a hose and also containing a pressure gauge and refrigerant for use in automotive air conditioning systems; air conditioning system charging equipment comprising metal fittings for a hose and a metal refrigerant dispenser
Vehicle air conditioning system kits primarily comprised of a metal fitting for a hose and also containing a pressure gauge and refrigerant for use in automotive air conditioning systems; air conditioning system charging equipment comprising metal fittings for a hose and a metal refrigerant dispenser
17 - Produits en caoutchouc ou en matières plastiques; matières à calfeutrer et à isoler
20 - Meubles et produits décoratifs
22 - Cordes; filets; tentes, auvents, voiles et sacs; matières de rembourrage
Produits et services
Metal barrel bolts; Metal cabinet hardware, namely, Common metal drawer pulls, Metal knobs, Metal hinges, Metal handles for cabinets, Metal cabinet door catches and Metal cabinet stops; Metal doorstops; Wire ropes; Wire rope accessories of metal, namely, sockets, threaded studs, and buttons; Metal tie-downs and anchors, namely, Metal tie-down anchors, Anchor bolts of metal, Metal fastening anchors for securing pictures to walls, Metal strapping or tie-downs; Metal clothesline wire; Rope accessories, namely, Rope thimbles of metal, Wire rope slings, Metal hardware for use in descending ropes being belay devices and descenders; Packaged metal chains; Chain accessories, namely, Couplings of metal for chains; Door chains and guards namely, Metal clasps for use as door security hardware, Metal chain door guards, Chain door guards of metal; Corner braces, namely, Metal corner mounting brackets for general use; Metal shelf brackets; Utility hinges, namely, Metal hinges; Interior hinges, namely, Metal hinges; Metal mending plates; Metal gate hardware, namely, Metal gate stops, Metal gate latches, Gate hooks and eyes of metal, Metal gate hinges; Metal screen door hardware, namely, Metal door stops, Doorplates of metal, Metal door handles, Spring-loaded door closers of metal Rubber doorstops Non-metal cabinet hardware, namely, Non-metal drawer pulls, Non-metal knobs, Non-non-metal handles for cabinets, Non-metal cabinet door catches, Non-metal cabinet stops; Doorstops, not of metal or rubber; Non-metal tie-downs and anchors, namely, Non-metal tie-down anchors, Non-metal fastening anchors for securing picture to walls; Corner braces, namely, Non-metal corner mounting brackets for general use; Non-metal shelf brackets; Metal and non-metal shelving; Utility hinges, namely, Non-metal hinges; Interior hinges, namely, Non-metal hinges; Non-metal gate hardware, namely, Non-metal gate stops, Non-metal gate latches, Gate handles, not of metal; Non-metal screen door hardware, namely, Non-metal door stops, Non-metal door handles Bungee cords; Twine; Natural rope, namely, Ropes, not of metal; Nylon ropes; Paracord; Polypropylene rope; Clothesline; Rope accessories, namely, Bags specially adapted for holding rope; Tie-downs, namely, Nylon tie-down straps, Quick-release tie-down straps made of synthetic textile materials, Ratchet tie-down straps made of synthetic textile materials
47.
SYSTEM AND METHOD FOR COUPLING A USER COMPUTING DEVICE AND A POINT OF SALE DEVICE
In some embodiments, purchase systems and methods are provided. Some embodiments comprise one or more processors configured to receive, at a point of sale device, a request to use self-checkout through a user computing device; couple the point of sale device with the user computing device by: display by the point of sale device a coupling code configured to be scanned by the user computing device; receive the coupling code by a server system; and interpret, at the server system, the coupling code to identify the point of sale device; cause contents of an electronic shopping cart associated with a transaction to be transmitted to the identified point of sale device; receive a customer identifier associated with the transaction; and conclude, on the point of sale device, the transaction based on the coupling of the point of sale device with the user computing device.
Toy vehicles; Modeled plastic toy figurines; Doll accessories; Musical toys; Toy musical instruments; Doll house furnishings; Doll houses; Furniture for dolls' houses; Inflatable pool toys; Inflatable toys for swimming pools; Water squirting toys; Water toys; Inflatable float hammocks for recreational use in water; Paddle ball games; Snow boards; Snow saucers; Snow sleds for recreational use; Inflatable toys; Archery sets; Boxing gloves; Play balls; Children's portable ball pits; Baby rattles; Baby rattles incorporating teething rings; Bath toys; Play mats containing infant toys; Infant toys; Bathtub toys; Stacking toys; Activity gyms for infants and toddlers; Crib mobiles; Crib toys; Toys designed to be attached to cribs; Children's multiple activity tables; Infant exercise seats, namely, jumpers and infant saucers; Role playing toys in the nature of play sets for children to imitate real life occupations; Toy tools; Electronic action toys; Electronic learning toys; Toy vehicle tracks; Toy model train sets; Drawing toys; Toy bakeware and cookware; Toy nesting, stacking, and sorting boxes for children; Toy building blocks; Toy building structures; Remote-controlled toy vehicles; Plush dolls; Plush toys; Toy animals and accessories therefor; Toy doll styling heads; Baby multiple activity toys; Children's multiple activity toys; Toy jewelry; Toy imitation cosmetics; Toy food; Toy weapons; Marbles; Marbles for games; Basketball hoops; Play tents; Basketball goal sets; Bubble-making wand and solution sets; Toy pistols; Flying saucers; Hand-powered non-mechanical flying toy; Flying toys using electrostatic levitation; Jump ropes; Inflatable bop bags; Inflatable swimming pools; Pool cushions; Swimming aids, namely, pool rings and arm floats for recreational use; Punching toys; Sand toys; Kites; Inflatable float mattresses or pads for recreational use; Swings; Playground sand boxes; Playground equipment, namely, inflatable bounce houses for children, inflatable slides and sand tables; Water slides; Playground slides
Examples may be related to entity-aware multi-task machine learning. An example may involve: obtaining a search query; retrieving, using an entity retrieval model, at least one entity based on the search query; generating, using a neural network, query embedding data based on the search query and the at least one entity; generating, using a plurality of task-specific networks, task prediction data for a plurality of tasks based on the query embedding data, wherein each task of the plurality of tasks captures a different aspect of a user intent associated with the search query; and generating at least one search result for the search query based on the task prediction data for the plurality of tasks.
(1) Dog food, dog treats, pet food, pet treats, cat food, and cat treats; Raw and unprocessed agricultural, aquacultural, horticultural and forestry products; raw and unprocessed grains and seeds; fresh fruits and vegetables, fresh herbs; natural plants and flowers; bulbs, seedlings and seeds for planting; live animals; foodstuffs and beverages for animals; malt.
Retail and on-line grocery store services; retail and on-line grocery store services featuring a wide variety of consumer goods of others; retail and on-line grocery store services featuring pickup, in-store pickup and home delivery service; retail services, namely, administration of a discount program for enabling participants to obtain discounts on shipping services through use of a discount membership program; customer loyalty program services featuring rewards in the form of discounted shipping services and early access to retail discounts and offers; customer loyalty program services featuring a membership for unlimited free shipping of consumer goods purchased from retailer; customer loyalty program services featuring a membership for unlimited expedited shipping of consumer goods purchased from retailer; mobile retail store services featuring a wide variety of consumer goods of others
Examples provide a case sequencer for sequencing and buffering of items in accordance with sizing attributes of each item. A first vertical transport mechanism and a second vertical transport mechanism are connected to a plurality of slidable queuing beds located at a plurality of different levels along the vertical length of each vertical transport mechanism. Sensor data is used to sort items by size, weight, shape, or other dimensions. Items exit onto the queuing beds at different levels based on item dimensions for buffering. Items of similar size exit the second vertical transport together. Each slidable queueing bed is capable of sliding outward to the side or back for maintenance and/or repair. Multiple queuing beds at different levels can be pulled out for maintenance at the same time. The case sequencer can continue operation as long as at least one queuing bed remains retracted and operable.
B07C 5/36 - Appareils trieurs caractérisés par les moyens qu'ils utilisent en vue de la distribution
B65G 33/02 - Transporteurs rotatifs à vis ou à hélice pour objets
B65G 47/51 - Dispositifs pour décharger les objets ou matériaux des transporteurs avec distribution, p. ex. automatique, aux points voulus selon des signaux non programmés, p. ex. répondant à la situation de l'approvisionnement au point de destination
21 - Ustensiles, récipients, matériaux pour le ménage; verre; porcelaine; faience
28 - Jeux, jouets, articles de sport
Produits et services
(1) Pool toys; inflatable pool toys; inflatable armbands for swimming; inflatable swimming floats; pool inflatables; lounges and floats; pool play centres; slides and sprinklers; and pool noodles; inflatable games for swimming pools; water toys; inflatable swimming pools; Games, toys and playthings; video game apparatus; gymnastic and sporting articles; decorations for Christmas trees.
21 - Ustensiles, récipients, matériaux pour le ménage; verre; porcelaine; faience
28 - Jeux, jouets, articles de sport
Produits et services
(1) Pool toys; inflatable pool toys; inflatable armbands for swimming; inflatable swimming floats; pool inflatables; lounges and floats; pool play centres; slides and sprinklers; and pool noodles; inflatable games for swimming pools; water toys; inflatable swimming pools; Games, toys and playthings; video game apparatus; gymnastic and sporting articles; decorations for Christmas trees.
09 - Appareils et instruments scientifiques et électriques
Produits et services
Vehicle safety equipment, namely, back-up sensors and cameras; Vehicle safety equipment, namely, an on-board vehicular surveillance system comprised of cameras and monitors for exposing and eliminating the blind spots on both sides of the vehicle; Rearview cameras for vehicles; Blindspot cameras for vehicles; Safety and driving assistant system for mobile vehicles and vessels comprised of electronic proximity sensors and switches, high-resolution cameras, integrated circuits for the purpose of imaging processing, and display monitors; Holders adapted for cell phones and smartphones; Privacy screen protectors adapted for cell phones; Screen protectors made of tempered glass specially adapted for cell phones; Retractable multiport card device charger for use in vehicles; Audio and visual equipment for vehicles, namely, a dashboard stereo with backup camera for vehicles; Audio and visual equipment for vehicles, namely, a dashboard stereo with front facing camera for vehicles; Audio and visual equipment for vehicles, namely, a dashboard stereo with both front and backup camera for vehicles; Inkjet printers for use with computers; Computer printers for printing documents
(1) Prepaid gift cards, prepaid debit cards, prepaid credit cards, financial services, banking services, payroll deposit, e-transfers, bill payments, money transfer services, retail store services, and online retail store services; Advertising; business management, organization and administration; office functions.
Printed greeting cards; Envelopes; Gift tags of paper; Canvas for printing; Drawing pads; Chalkboards; Paper bags; Tissue paper; Shred paper, namely, shredded packaging materials made of paper; General purpose reclosable plastic bags; Paper craft bags
21 - Ustensiles, récipients, matériaux pour le ménage; verre; porcelaine; faience
Produits et services
Ceramic sculptures, vases, vessels, bowls, plates and pots; Ceramic figurines; Glass jars; Nutcrackers; Trays for household purposes; Tumblers for use as drinking glasses
Examples provide an automatic item display reconfiguration guidance system providing sequential reconfiguration instructions presented to a user coordinated across multiple display devices in real-time as the modular item display is being reconfigured from an original item configuration to a new item configuration. A sequence of graphical instructions for removing a set of items, moving a set of items, and adding a set of new items to the modular item display are generated and presented to a user via a user interface (UI) on a user device and/or one or more shelf display device(s) on the modular item display in a substantially simultaneous manner. The graphical instructions including, color-coded indicators and/or images of the items, are presented to the user in real-time as items are removed, moved, or added in sequence enabling fast and efficient reconfiguration of items on the display with minimized expenditure of labor and reduced error rate.
An interlocking mobile storage system, comprising a first storage container and a second storage container. The first storage container comprises a latch disposed on a side of the first storage container. The latch comprises a biasing member and a pivot, wherein the latch is pivotable between an engaged position and a disengaged position and the biasing member biases the latch to the engaged position. The second storage container comprises a recess comprising an overhang. The first storage container is disposed on a top of the second storage container and the latch is in the engaged position, is engaged with, and is disposed in the overhang of the recess.
Systems and methods for automatically generating electronic communications including relevant content elements are disclosed. A request to generate an electronic communication including a user identifier and a prior interaction is received. A hybrid sequential model is implemented to generate a set of hybrid sequential element recommendations selected from a catalog of items. The hybrid sequential model includes a sequential sub-model to select a set of sequential elements and a re-ranking sub-model to re-rank the sequential elements to generate the hybrid sequential elements. An affinity model is implemented to generate affinity element recommendations and a set of relevant content elements including at least one of the set of hybrid sequential element recommendations and at least one of the set of affinity element recommendations is generated. The electronic communication is generated including the set of relevant content elements and is transmitted to a user device associated with the user identifier.
Systems and methods for supply chain network modeling and performance prediction are disclosed. In some embodiments, a disclosed method includes: receiving, from a computing device, a query associated with a supply chain network; representing the supply chain network as at least one graph based on historical transactions in the supply chain network; obtaining at least one machine learning model that is trained based on graph data related to nodes and edges in the at least one graph; generating, using the at least one machine learning model, supply chain prediction data based on the query; and transmitting the supply chain prediction data to the computing device.
Systems and methods for predicting and motivating customers to provide reviews are disclosed. In some embodiments, a disclosed method includes: receiving, from a computing device, a request for potential reviewers; selecting, based on the request, a plurality of customers who have purchased items but have not provided any review for the purchased items; computing, using at least one machine learning model, review probabilities based on feature data related to the plurality of customers and transactions involving the purchased items, wherein each review probability is a probability of a corresponding customer providing a review; generating, from the plurality of customers, a ranked list of customers based on the review probabilities and reviewer segmentation data; and transmitting to the computing device the ranked list of customers to be reminded for providing reviews.
