In some embodiments, apparatuses and methods are provided herein useful to validating migrated data. In some embodiments, there is provided a system for validating migrated data including a control circuit configured to migrate data from a first database platform to a second database platform and validate the migrated data. The control circuit configured to transmit a message indicating a mismatch in response to a determination that a first single aggregated hash value does not match with a second single aggregated hash value.
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, apparatuses and methods are provided herein for building a shopping list on a user device using a sensor unit attached to a shopping container. In one embodiment, a shopping apparatus is provided. The shopping apparatus includes a portable item container and a sensor unit attached to the portable item container. The sensor unit includes a sensor configured to detect identifying information from items gathered by a user and placed in the portable item container and a transmitter configured to wirelessly transmit the identifying information of the items to a user device configured to use the identifying information to build a shopping list.
A system and method are disclosed for supplying one or more goods to a physical store location. The goods may be received at a distribution center (DC). At the DC, the goods may be decanted from their shipping containers into one or more sub-totes, which are contained within one or more product totes. The sub-totes may be transferred from the one or more product totes to one or more order totes based on a velocity of movement of the plurality of goods at the physical store location.
B65B 5/00 - Packaging individual articles in containers or receptacles, e.g. bags, sacks, boxes, cartons, cans, jars
B65B 5/08 - Packaging groups of articles, the articles being individually gripped or guided for transfer to the containers or receptacles
B65G 1/137 - Storage devices mechanical with arrangements or automatic control means for selecting which articles are to be removed
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
G05B 19/418 - Total factory control, i.e. centrally controlling a plurality of machines, e.g. direct or distributed numerical control (DNC), flexible manufacturing systems (FMS), integrated manufacturing systems (IMS), computer integrated manufacturing (CIM)
G06Q 10/0631 - Resource planning, allocation, distributing or scheduling for enterprises or organisations
G06Q 10/08 - Logistics, e.g. warehousing, loading or distribution; Inventory or stock management
G06Q 10/0832 - Special goods or special handling procedures, e.g. handling of hazardous or fragile goods
An article of footwear includes an upper and a heel counter operatively connected to a heel region of the upper. The heel counter includes a cradle having a body. The body of the cradle includes a base and a cradle arm extending outward from the base to a tip portion of the cradle arm. The tip portion of the cradle arm is moveable relative to the base between an expanded position and a collapsed position. A spring is encased within the body of the cradle such that the spring biases the tip portion of the cradle arm toward the expanded position of the tip portion. The tip portion of the cradle arm is resiliently deflectable toward the collapsed position against the bias of the spring.
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: training, using labeled training data and a list of substitutes for an item, a machine learning algorithm; determining, using the machine learning algorithm, as trained, a respective similarity score for each substitute of the list of substitutes; ranking each substitute of the list of substitutes based on its respective similarity score; and re-training the machine learning algorithm based on at least the labeled training data and a highest ranked substitute of the list of substitutes. Other embodiments are disclosed herein.
Systems, method and computer readable medium are provided for automated storage and retrieval. User authentication information is received via a user interface for a dynamic storage and retrieval device. The user identity is verified based upon the authentication information and previously stored authentication data. Order information is retrieved for an order associated with the user following the verifying of user identity, the order information indicating one or more locations for items associated with the order. Instructions are transmitted to initiate a physical opening of at least one of the dynamic storage and retrieval device and at least one static storage location to enable the user to retrieve at least one item of the order, the static storage location including a controller controlling a locking mechanism and communicatively coupled to the dynamic storage and retrieval device.
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
A47G 29/14 - Deposit receptacles for food, e.g. breakfast, milk; Similar receptacles for large parcels with appliances for preventing unauthorised removal of the deposited articles
B65G 1/137 - Storage devices mechanical with arrangements or automatic control means for selecting which articles are to be removed
G07C 9/00 - Individual registration on entry or exit
G07F 17/12 - Coin-freed apparatus for hiring articles; Coin-freed facilities or services for means for safe-keeping of property, left temporarily, e.g. by fastening the property comprising lockable containers, e.g. for accepting clothes to be cleaned
Systems and methods of monitoring inventory of a product storage facility include an image capture device configured to move about the product storage areas of the product storage facility and capture images of the product storage areas from various angles. A computing device coupled to the image capture device obtains the images of the product storage areas captured by the image capture device and processes the obtained images of the product storage areas to detect individual products captured in the obtained images. Based on detection of the individual products captured in the images, the computing device analyzes each of the obtained images to extract meta data from the packaging the individual products to detect one more keywords and determine the locations of the detected keywords on the packaging, and then utilize this information to predict an identity of the products associated with the packaging.
Some embodiments provide systems comprising: a machine learning model database; a deblur system configured to receive at least a portion of an image comprising a presumed location label captured by the image capture device, and apply at least a deblurring machine learning framework to generate a deblurred label image comprising the presumed location label; a rectification system configured to apply an machine learning transform algorithm to the deblurred label image to generate a rectified label image; an optical character recognition (OCR) system configured to apply a recognition machine learning model to the rectified label image to estimate text; and a location estimation system configured to estimate a location of the presumed location label as a function of the estimated text of the presumed location label relative to known text on known location labels position at respective different known locations within the product storage facility.
Systems and methods of monitoring inventory of a product storage facility include an image capture device configured to move about the product storage areas of the product storage facility and capture images of the product storage areas from various angles. A computing device coupled to the image capture device obtains the images of the product storage areas captured by the image capture device and processes the obtained images of the product storage areas to detect individual products captured in the obtained images. Based on detection of the individual products captured in the images, the computing device analyzes each of the obtained images to detect one or more adjacent product storage structures (shelves, pallets, etc.) and identifies and selects a single image that fully shows a product storage structure of interest and fully shows each of the products stored on the product storage structure of interest.
In some embodiments, apparatuses and methods are provided herein useful to updating inventory of products. In some embodiments, there is provided a system for updating inventory of products including a database; at least one image capture device; and a control circuit. The control circuit is configured to: process an image by: detecting units of one or more products in the image; grouping each detected unit into one or more clusters based on at least one of textual similarities, visual similarities, geometrical similarities, or relative spatial distance; detecting a product identifier for each cluster; identifying a product corresponding to the detected product identifier of each cluster; and counting the detected units associated with each cluster. The control circuit is configured to cause an update to the inventory of products in the database based on the counted detected units of each cluster.
The present disclosure relates to a blocking system for mobile robots that may operate in an automated storage and retrieval structure (ASRS) having a multilevel structure. Moreover, the disclosed embodiment(s) discusses mechanical implementations over horizontal rails to function as a bot blocking system and avoid potential boundary breach by the mobile robot. These mechanical implementations are expected to safely decelerate and arrest motion of mobile robot. The blocking system may comprise blocking components configured to act as friction brakes to stop mobile robot and inhibit damage to the multilevel structure, in case of boundary-breach. Blocking system in the present disclosure further allows easy installation of mechanical implementation and capability to adapt to variations in the multilevel structure.
B60T 7/22 - Brake-action initiating means for initiation not subject to will of driver or passenger initiated by contact of vehicle, e.g. bumper, with an external object, e.g. another vehicle
B61H 7/00 - Brakes with braking members co-operating with the track
B61H 11/00 - Applications or arrangements of braking or retarding apparatus not otherwise provided for; Combinations of apparatus of different kinds or types
A label dispenser coupled to product-transporting carts at retail facilities includes a label roll support arm supporting multiple label rolls thereon, a label guide arm including openings that permit a leading portion of the backing substrate of a label roll to pass therethrough, and a side wall interconnecting the label roll support arm and the label guide arm. The label guide arm also includes an upper portion located above the openings and configured to support the backing substrates of the label rolls thereon. The label guide arm further includes an edge configured to facilitate separation of a leading peelable label from the backing substrate in response to a force applied by the user when pulling the leading portion of the backing substrate of the label roll through the opening of the label guide arm.
09 - Scientific and electric apparatus and instruments
36 - Financial, insurance and real estate services
42 - Scientific, technological and industrial services, research and design
Goods & Services
Computer software featuring computer vision technology for recognition of physical objects to confirm accuracy of consumer goods sales transactions; Electronic machines featuring computer vision technology for recognition of physical objects to confirm accuracy of consumer goods sales transactions. Consumer goods payment verification by means of computer vision technology. Monitoring and verification of sales transactions by means of computer vision technology.
16.
SYSTEMS AND METHODS FOR DETERMINING PRICE BANDS AND USER PRICE AFFINITY PREDICTIONS USING MACHINE LEARNING ARCHITECTURES AND TECHNIQUES
A system including one or more processors and one or more non-transitory computer-readable media storing computing instruction that, when executed on the one or more processors, cause the one or more processors to perform operations: generating, using a training procedure, labels based at least in part on price band activity data from a time period; training, using the training procedure, an affinity prediction model of a machine learning architecture; analyzing, using the affinity prediction model of the machine learning architecture, as trained, the price band activity data indicating interactions of a user with items; and generating, using the labels and the affinity prediction model of the machine learning architecture, as trained, one or more price affinity predictions for one or more items for the user. Other embodiments are disclosed herein.
In some embodiments, apparatuses and methods are provided to support individuals in a retail environment. Some embodiments, provide systems, comprising: a plurality of cameras positioned in a retail store; an image processing control circuit configured to determine a customer field of view; a product identification control circuit configured to identify a set of multiple products within the identified customer field of view, assign a viewing probability to each product without the first customer having to touch the first product; a product selection control circuit configured to determine a purchase probability of the first product; add the first product to a virtual electronic cart when the purchase probability of the first product exceeds a purchase probability threshold; and communicate instructions to control the worker personal computing device to instruct a worker to retrieve the first product.
A system can include 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: selectively aggregating in-session user activity of a user with historical activity data of the user into one or more respective groups based on interactions of the user with a GUI over a period of time; predicting, using a set of predictive algorithms, one or more intents of the user based on the one or more respective groups; and facilitating a display of an altered GUI on an electronic device of the user based on the one or more intents of the user, as predicted. Other embodiments are disclosed herein.
Segmentation first breaks the images into segments or regions, with the segments of the region having text or symbols. The segmented image is separately applied to two different CNN-based models. Each model produces text boxes where potential text might exist. Then, a selective NMS algorithm is applied to the output of each model to produce a final group of text regions. These text regions are analyzed and actions are taken.
G06V 10/26 - Segmentation of patterns in the image field; Cutting or merging of image elements to establish the pattern region, e.g. clustering-based techniques; Detection of occlusion
G06V 10/82 - Arrangements for image or video recognition or understanding using pattern recognition or machine learning using neural networks
A method including obtaining information about a trailer that has been partially loaded with preloaded stacks in a manner that deviates from an original load design. The trailer is loaded with stacks of pallets including (i) the preloaded stacks that have already been loaded in the trailer and (ii) unloaded stacks that have not yet been loaded into the trailer. The method also can include determining positions of empty floor spots remaining in the trailer. The method additionally can include determining a first portion of an incremental load design for the unloaded stacks using a gap-filling pattern behind an uneven rear edge of the preloaded stacks in the trailer. The method further can include determining a second portion of the incremental load design. The method additionally can include updating the incremental load design based on an overall load design of the trailer using a first simulated annealing using a first neighborhood defined by separate rows within a delivery group that does not include the preloaded stacks. The method further can include outputting at least the incremental load design, as updated, to cause the unloaded stacks to be loaded in the trailer according to the incremental load design while the preloaded stacks remain in the trailer. The incremental load design specifies a respective floor spot assignment for each of the unloaded stacks. Other embodiments are described.
This application relates to apparatus and methods for automatically grouping the same or similar items provided by various suppliers that may use various supplier identification systems to identify the items to a retailer. In some examples, item update data identifying an attribute of an item is received and an anomaly is detected in a hierarchical structure of a database. The anomaly is detected by a machine learning model trained by a supervised training dataset based on attributes of items. A hierarchical association between the attribute of the item and the item in the database is generated when the detected anomaly includes a difference between a first hierarchical relationship defined in the item update data and a second hierarchical relationship defined for the item in the database. Item data including the hierarchical association is transmitted to update at least one marketplace.
A method including determining respective training data for each of query-type-specific answer retrieval modules. The method further can include training each of the query-type-specific answer retrieval modules. The method additionally can include determining a query type of a query from a user device for a user. The method also can include determining, in real-time and based at least in part on the query type, an answer retrieval module from the query-type-specific answer retrieval modules, as trained. Moreover, the method can include determining, in real-time by the answer retrieval module, one or more answers for the query. Then, the method can include ranking, in real-time, the one or more answers based on a user profile of the user. Finally, the method can include transmitting, via a computer network and to the user device, at least one of the one or more answers, as ranked. Other embodiments are disclosed.
Methods and systems and computer-readable media are provided for dual optimization of pick walk and tote fill rates in order picking. Embodiments provide improved order picking speed and quality by optimizing pick routing with consideration of both proximity constraints and tote value constraints. Tote value constraints can include constraints on carrying capacity, volume, size in a particular dimension, or weight capacity.
G06Q 10/087 - Inventory or stock management, e.g. order filling, procurement or balancing against orders
G06Q 10/04 - Forecasting or optimisation specially adapted for administrative or management purposes, e.g. linear programming or "cutting stock problem"
25.
SYSTEMS AND METHODS FOR DETERMINING CUSTOMER LIFETIME VALUE
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: segmenting each respective user of one or more users into a respective user state of one or more respective user states; predicting, using a machine learning LTV update model, a respective LTV for each respective user of the one or more users; determining a respective transition path from the respective user state of the respective user to a different respective user state; determining a respective online advertisement to transition a respective user of the one or more users from a respective transition state to the different respective user state; and displaying the respective online advertisement for the respective user of the one or more users. Other embodiments are disclosed herein.
There is provided a conveyor assembly for sorting merchandise items. In one form, the conveyor assembly includes: a merchandise identification module; sortation modules each comprising a multi-directional sorting portion with two sets of rollers, a first wing including a third set of rollers, a second wing including a fourth set of rollers, and a controller configured to receive an IP address; a first, disassembled state of the sortation modules; a second, assembled state of the sortation modules; a merchandise database; and a control circuit configured to receive identifying information about an unsorted merchandise item, assign a unique IP address to each sortation module corresponding to the position of the sortation module, determine a sortation destination for the unsorted merchandise item, determine the sortation module corresponding to the sortation destination; and instruct the controller of the corresponding sortation module to divert the unsorted merchandise item to the sortation destination.
B65G 37/00 - Combinations of mechanical conveyors of the same kind, or of different kinds, of interest apart from their application in particular machines or use in particular manufacturing processes
B65G 47/71 - Devices for transferring articles or materials between conveyors, i.e. discharging or feeding devices adapted to receive articles arriving in one layer from one conveyor and to transfer them in individual layers to more than one conveyor, or vice versa, e.g. combining the flows of articles conveyed by more than one conveyor the articles being discharged to several conveyors
G05B 19/418 - Total factory control, i.e. centrally controlling a plurality of machines, e.g. direct or distributed numerical control (DNC), flexible manufacturing systems (FMS), integrated manufacturing systems (IMS), computer integrated manufacturing (CIM)
A system for third-party shopper exit verification is provided. The system includes a store user device, a network interface, a third-party shopper database, and a central computer system. The central computer is configured to provide, to a third-party shopper device, items in a customer order to be collected by a third-party shopper from a retail store; detect a completion of a shopping trip for the customer order; retrieve third-party shopper information associated with the third-party shopper from the third-party shopper database; and determine whether to initiate an audit process based at least on the third-party shopper information. In the event that the audit process is required, the central computer system causes an audit request to display on the store user device and determines whether the third-party shopper passes audit based on comparing item identifiers of items in possession of the third-party shopper with items in the customer order.
An analysis of the scans is performed to determine whether the selected item was moved from the back room to the shelf, then returned from the shelf to the back room. The analysis also determines a re-bin time when the selected product was returned to the back room. An adjustment to the PI is blocked when last PI adjustment time is later than the re-bin time. An adjustment to the PI is also blocked when an audit indicator is received at the interface indicating that the retail store is under an audit. An adjusted PI value is determined when the analysis indicates that the selected item was moved from the back room to the shelf, then returned from the shelf, the adjusted PI value being at least one more than the shelf capacity value.
In some embodiments, systems and methods are provided herein useful to assess or determine available cargo capacity for multiple vehicles associated with crowdsourced delivery agents. In some embodiments, systems are provided to assess delivery vehicles and may include multiple electronic user devices each having a delivery agent interface operating thereon and an association with one or more crowdsourced delivery agents. At least one control circuit is communicatively coupled to the electronic user devices. By one approach, the control circuit may estimate delivery requirements for purchased orders, which includes volume requirements and geometric configurations of purchased orders. The control circuits may evaluate vehicles associated with crowdsourced delivery agents to determine which are suitable for delivery of the purchased order, and present, to the appropriate electronic user devices, an opportunity to deliver at least a portion of the purchased order to a delivery location.
In some embodiments, apparatuses and methods are provided herein useful to displaying items for purchase. In some embodiments, there is provided a system for displaying items for purchase from a retailer including a control circuit and a retail application. In some embodiments the control circuit determines inventory items to include in a listing of selectable items for potential purchase; outputs signaling to cause a retail application to display the listing of selectable items; receives an indication of a customer selection; determines subsequent inventory items to include in an updated listing based on at least one of a corresponding dimensional space or a corresponding weight of each of the subsequent inventory items, and a remaining available storage capacity of a delivery container; and outputs subsequent signaling to cause the retail application to display the updated listing.
In some embodiments, apparatuses and methods are provided herein useful to the sortation of products using a conveyor assembly. In some embodiments, there is provided a system for receiving and sorting products shipped to a shopping facility including: a delivery location at a shopping facility configured to receive a shipment of products; a conveyor assembly comprising: a product identification module configured to read identification data from an identification label disposed on a product; a plurality of sortation modules configured to move the product to one of a predetermined plurality of sortation destination areas; a control circuit operatively coupled to the product identification module and to each of the sortation modules, the control circuit configured to: receive the identification data from the product identification module; determine the sortation destination area for the product based at least on one of shopping facility data and shipping data regarding the product as sortation criteria; and cooperate with the plurality of sortation modules to move the product to the determined sortation destination area.
G06K 7/10 - Methods or arrangements for sensing record carriers by corpuscular radiation
G06K 7/14 - Methods or arrangements for sensing record carriers by corpuscular radiation using light without selection of wavelength, e.g. sensing reflected white light
G06Q 10/087 - Inventory or stock management, e.g. order filling, procurement or balancing against orders
G06Q 50/28 - Logistics, e.g. warehousing, loading, distribution or shipping
An automated order fulfillment system and mobile robot are disclosed, where the mobile robot includes a compliant drive for moving between levels of a multilevel storage structure. In one example, the compliant drive comprises a drive shaft having splines configured to provide rotational play that prevents jamming of a vertical drive gear on the end of the shaft with a rack in a vertical track.
Some embodiments provide an automated order fulfillment facility, comprising: a multi-level storage structure comprising a plurality of racks, and a mobile robot configured to transport totes to and from the multi-level storage structure. The mobile robot can comprise: a transport system configured to transport the mobile robot, a frame mounted on the transport system, a plurality of support locations vertically oriented within the frame, a first tote handling device comprising a first portion configured to extend from the frame and acquire a first tote from the multi-level storage structure, and a second tote handling device comprising a second portion configured to extend from the frame and support one or more totes second totes above the first tote as the first tote is being acquired.
B66B 9/16 - Mobile or transportable lifts specially adapted to be shifted from one part of a building or other structure to another part or to another building or structure
B65G 1/137 - Storage devices mechanical with arrangements or automatic control means for selecting which articles are to be removed
B66F 9/12 - Platforms; Forks; Other load-supporting or load-gripping members
B25J 5/00 - Manipulators mounted on wheels or on carriages
09 - Scientific and electric apparatus and instruments
Goods & Services
Motion detecting sensors; battery-powered lighting control apparatus for dimming and with on and off switches; Items to monitor the function and status of other electrical, electronic, and mechanical devices and systems, namely, alarm sensors to detect the open and closed status of windows and doors; Smart enabled items to detect the presence or status of smoke and carbon monoxide, namely, smart enabled smoke and carbon monoxide detectors; Smart enabled electric video doorbell to monitor activity and detect motion; Smart enabled outdoor floodlight motion-activated camera to monitor and detect outdoor motion; Smart enabled indoor motion-activated camera to monitor and detect motion; Smart enabled digital door lock to perform locking and unlocking operations on a door via smart devices; Smart home hubs using artificial intelligence comprised of voice-activated speakers, computer hardware, and downloadable software for controlling networked devices in the internet of things (IoT) and home security alarms for the purpose of monitoring security system status and automating a home security system; Security alarm controller in that nature of smart home security keypad to activate or deactivate in home security settings; smart home security hub comprised of computer hardware and downloadable software for monitoring security system status or home automation of a security system; smart home security keypad to activate or deactivate in home security settings
09 - Scientific and electric apparatus and instruments
Goods & Services
Motion detecting sensors; battery-powered lighting control apparatus for dimming and with on and off switches; Items to monitor the function and status of other electrical, electronic, and mechanical devices and systems, namely, alarm sensors to detect the open and closed status of windows and doors; Smart enabled items to detect the presence or status of smoke and carbon monoxide, namely, smart enabled smoke and carbon monoxide detectors; Smart enabled electric video doorbell to monitor activity and detect motion; Smart enabled outdoor floodlight motion-activated camera to monitor and detect outdoor motion; Smart enabled indoor motion-activated camera to monitor and detect motion; Smart enabled digital door lock to perform locking and unlocking operations on a door via smart devices; Smart home hubs using artificial intelligence comprised of voice-activated speakers, computer hardware, and downloadable software for controlling networked devices in the internet of things (IoT) and home security alarms for the purpose of monitoring security system status and automating a home security system; Security alarm controller in that nature of smart home security keypad to activate or deactivate in home security settings; smart home security hub comprised of computer hardware and downloadable software for monitoring security system status or home automation of a security system; smart home security keypad to activate or deactivate in home security settings
In some embodiments, apparatuses and methods are provided herein useful to facilitating the vehicle pick up of orders at shopping facilities. In some embodiments, there is provided a system including: an electronic interface for receiving an order corresponding to a customer and for receiving a time period during which the customer requests to pick up the order; a control circuit configured to: determine the location of the customer; determine a plurality of shopping facilities near the customer's location; determine when the order would be available for pick up; determine the subset of shopping facilities where the order would be available within the time period requested by the customer; transmit the location to the customer; and at least one shopping facility where the order is made available for pick up by the customer during the requested time period.
The embodiments relate to a system, a computer-implemented method, and a computer program product for performing bot detection using a velocity framework. For example, embodiments include a policy decision engine that can receive requests from a source, wherein each of the requests comprise velocity data including one or more attributes. The policy decision engine can monitor an occurrence of the velocity data in each request, and determine a velocity data rate for the velocity data in each request. Further, the policy decision engine can determine whether the request is a bot request based at least in part on the determined velocity data rate, and transmit a notification to the source of the request based at least in part on the determination of the bot request, wherein the notification indicates whether a bot request has been identified in the request.
This application relates to automated processes for assigning item containers, such as boxes, to a location on a shipping container, such as a pallet. For example, a computing device may receive an item assignment request identifying a plurality of item containers, and determines a subset of the plurality of item containers for assigning to a layer of a shipping container. Further, the computing device determines a plurality of positions and a plurality of orientations for each of the subset of the plurality of item containers. The computing device also assigns the subset of the plurality of item containers to the layer of the shipping container based on the plurality of positions and the plurality of orientations. The computing device further generates an item assignment response identifying the assignments of the plurality of item containers, and transits the item assignment response for display.
On-line retail store services featuring a wide variety of consumer goods of others; Retail store services featuring a wide variety of consumer goods of others; Wholesale store services featuring a wide variety of consumer goods of others
Retail grocery store services; Wholesale and retail store services featuring an event for Pi Day; On-line wholesale and retail store services featuring an event for Pi Day; Online retail grocery store services
Retail grocery store services; Wholesale and retail store services featuring an event for Pi Day; On-line wholesale and retail store services featuring an event for Pi Day; Online retail grocery store services
50.
SYSTEMS AND METHODS FOR ASSEMBLING UNPACKED MERCHANDISE IN CONTAINERS
There are provided systems and methods relating to assembling unpacked merchandise in containers. In one form, the system includes an order of merchandise items to be assembled in containers, and a predetermined set of containers defining different sizes and including at least two different types of containers. The system also includes a control circuit configured to: receive notification of the order, select a first type of container, determine a first subset of the plurality of merchandise items to be received in the selected type of container, select a size of the selected type of container to receive the first subset of merchandise items, and instruct the disposition of the first subset of merchandise items within the selected type and size of container.
B65B 59/00 - Arrangements to enable machines to handle articles of different sizes, to produce packages of different sizes, to vary the contents of packages or to give access for cleaning or maintenance purposes
B65B 57/12 - Automatic control, checking, warning or safety devices responsive to absence, presence, abnormal feed, or misplacement of articles or materials to be packaged and operating to control, or stop, the feed of wrapping materials, containers, or packages
A system and method of automated driver selection is disclosed. A plurality of driver profiles and a first order are received. Each of the driver profiles includes at least one driver parameter. The first order includes at least one order parameter. A driver score is calculated for each of the plurality of driver profiles for the first order. The driver score is calculated based on the at least one driver parameter and the at least one order parameter. Each driver profile is ranked based on the calculated driver score and a first delivery assignment request is transmitted to a system associated with a first-ranked driver profile. A response is received to the first delivery assignment request.
A solution for automated food selection includes: an order processing component operable to receive an order identifying an item; a selection component comprising: a first hyperspectral sensor operable to sense a reflection from the item and produce a sensor output based at least on the reflection; and a picking mechanism; a control component operable to: based at least on identification of the item, select a hyperspectral profile from a set of hyperspectral profiles; compare the sensor output with the selected hyperspectral profile; and based at least on the comparison, determine whether to select the item for fulfillment of the order, wherein the picking mechanism is operable to divert the item to a selection output based at least on a determination to select the item for fulfillment of the order; and a transport component operable to transport the item to an order storage zone.
In some embodiments, apparatuses and methods are provided herein useful to baling materials. In some embodiments, there is provided a method for baling recyclable materials including placing mixed type recyclable materials inside a baling machine while not adding one or more layers of cardboard header materials inside the baling machine, the one or more layers of cardboard header materials normally used to structurally enhance a compressed shape of materials; compressing, by the baling machine, the mixed type recyclable materials into a shape suitable for at least one of storage and transportation; twining and securing the shape of the mixed type recyclable materials that have been compressed by the baling machine with one or more strings of baling wires resulting in a bale comprising twined and compressed mixed type recyclable materials; and wrapping the bale with a shrink film.
This application relates to automated processes for assigning item containers, such as boxes, to a location on a shipping container, such as a pallet. For example, a computing device may receive an item assignment request identifying a plurality of item containers, and determines a subset of the plurality of item containers for assigning to a layer of a shipping container. Further, the computing device determines a plurality of positions and a plurality of orientations for each of the subset of the plurality of item containers. The computing device also assigns the subset of the plurality of item containers to the layer of the shipping container based on the plurality of positions and the plurality of orientations. The computing device further generates an item assignment response identifying the assignments of the plurality of item containers, and transits the item assignment response for display.
A customer access system includes one or more customer access portals to dispense ordered items to customers and/or receive returned items from customers. A tote transfer system transports one or more totes to carry the ordered items and the returned items to and from the customer access portals. The customer access system may also include a storage structure to temporarily store one or more totes to provide a buffer to reduce or mitigate customer wait times at the customer access portal and/or to more efficiently disposition items by consolidating returned items. The storage structure may further allow “asynchronous dispositioning” of returned items where the retrieval of a returned item from the customer and the dispositioning of the returned item occurs at different times. In some implementations, the customer access portal includes one or more drawers to exchange of items with a customer in a safe and efficient manner.
An example system for digital wallet management including one or more databases and a computing system is described. The databases are configured to store data corresponding to purchase history of a user, the purchase history including payment account information for a first transaction captured through a reader at a point-of-sale system at the time of the first transaction and an identifier associated with the first transaction. The computing system receives a machine-readable element having the identifier associated with the first transaction encoded therein, searches the databases to determine the payment account information associated with the identifier, generates a prompt requesting confirmation of adding the payment account information for the first transaction to a digital wallet, receives positive confirmation to the generated prompt, and populates the digital wallet with the payment account information.
G06Q 20/36 - Payment architectures, schemes or protocols characterised by the use of specific devices using electronic wallets or electronic money safes
Some embodiments include apparatuses providing control over movement of motorized transport units at a retail facility, comprising: multiple self-propelled motorized transport units; a wireless communication network; and a central computer system, wherein the central computer system comprises: a transceiver; a control circuit; and a memory storing computer instructions that when executed cause the control circuit to: receive an override command, from a worker associated with the retail facility, to cause a first motorized transport unit of the multiple motorized transport units to implement one or more actions; confirm a valid authorization of the worker to override one or more operating limits of the first motorized transport unit; and override the one or more operating limits and communicate one or more instructions to the first motorized transport unit configured to cause the first motorized transport unit to implement the one or more actions in accordance with the override command.
E01H 5/06 - Apparatus propelled by animal or engine power; Apparatus 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 10/04 - 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 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 transmitters; Receivers 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 transmitters; Receivers 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 transmitters; Receivers co-operating therewith using ultrasonic, sonic, or infrasonic waves
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 - Scenes; Scene-specific elements in augmented reality scenes
G06V 20/40 - Scenes; Scene-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 pedestrians; Recognition of traffic objects, e.g. traffic signs, traffic lights or roads
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
60.
SYSTEMS AND METHODS OF STORING AND RETRIEVING RETAIL STORE PRODUCT INVENTORY
Apparatuses and methods are provided herein useful in retail store inventory storage and retrieval. Some embodiments provide systems, comprising: a rack system positioned above a dropdown ceiling and extending over the sales floor, and comprising: a plurality of racks, a rail system and the plurality of access passages; a plurality of unmanned vehicles; a plurality of access stations, wherein the access stations physically cooperate with one of the access passages; each rack comprises storage cells to receive a reusable tote; and wherein the central control circuit is configured to receive a request for a first product, identify a first access station, access the inventory tracking system to identify a first storage cell in which the first product is stored, identify an available unmanned vehicle, and communicate to the unmanned vehicle directing the unmanned vehicle to retrieve the tote and transport the tote to the first access station.
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 operations comprising: obtaining a set of items that have been grouped together as matching items in a group; generating, using an ensemble learning model, a predictive indication of a mismatched item grouped together in error as part of the set of items, wherein the ensemble learning model comprises at least two detection models that are performed simultaneously with each other to output predictive indications comprising the predictive indication; and determining a final mismatch decision for an item of the set of items, wherein the final mismatch decision is based on the predictive indication, and wherein the item comprises the mismatched item. Other embodiments are disclosed.
G06N 3/043 - Architecture, e.g. interconnection topology based on fuzzy logic, fuzzy membership or fuzzy inference, e.g. adaptive neuro-fuzzy inference systems [ANFIS]
A cloud-based system for use by retail store employees or customers at any location to facilitate the sale of automotive tires to consumers is provided. The system accesses multiple independent tire inventory systems from different distributors/manufacturers and provides a personalized set of recommendation tire options and accompanying TPMS service packs.
In some embodiments, apparatuses and methods are provided herein useful to facilitating the vehicle pick up of orders at shopping facilities. In some embodiments, there is provided a system including: an electronic interface configured to receive an order corresponding to a customer; a control circuit configured to: determine the location of the customer; determine shopping facilities near the customer's location; determine time intervals when the order will be available for pick up at each of the shopping facilities; transmit a visual representation indicating the time intervals of availability at the shopping facilities; and a shopping facility where the order is made available for pick up by the customer during one of the time intervals.
In some examples, a system may, obtain constraint data and customer profile data of a plurality of customers associated with the system. Moreover, for each customer of the plurality of customers, the system may, based on the customer profile data of the customer and the constraint data, generate a score associated with one or more constraints of the plurality of constraints, based on the score of each of the one or more constraints, generate an overall score, and associate the overall score with a customer profile of the customer. Further, the system may, implement operations that generate a clean dataset based on the overall score associated with a customer profile of each of the plurality of customers.
Examples of the disclosure provide for an automated inspection system. The system includes an inspection component implemented on at least one computing device with at least one sensor configured to capture data about a good; and a communication component communicatively coupled to the computing device and configured to receive information regarding regulations and quality control standards associated with the good, and transmit the information regarding the acceptability of a good to an inventory system.
In some embodiments, systems, methods, and apparatuses are provided herein useful for managing a plurality of concurrent and nearly concurrent data requests within a computer system. The systems have a main data storage for storing source data, and a high speed, and/or remote data storage for storing computed data. In some embodiments, a combination of data filters and distributed mutex processes are used to eliminate or limit duplicate reads and writes into the high speed data storage units by ensuring only a single service module gets a lock to do the read and update of the cache; and makes it possible for keys to expire and be removed from the data filter. The systems and methods herein have various applications including retail sales environments where the requested data is related to product sales, product availability and the like.
A robotic delivery system includes a server, a dispatch module, and a robotic delivery vehicle. The dispatch module transmits a suggested item to the dispatch application being executable on a client device operated by a user; and receives, from the dispatch application, a selection of the suggested item from the user of the client device.
G06F 3/0482 - Interaction with lists of selectable items, e.g. menus
G05D 1/10 - Simultaneous control of position or course in three dimensions
G05D 1/00 - Control of position, course, altitude, or attitude of land, water, air, or space vehicles, e.g. automatic pilot
G06Q 50/28 - Logistics, e.g. warehousing, loading, distribution or shipping
H04W 4/44 - Services specially adapted for particular environments, situations or purposes for vehicles, e.g. vehicle-to-pedestrians [V2P] for communication between vehicles and infrastructures, e.g. vehicle-to-cloud [V2C] or vehicle-to-home [V2H]
An automated decant system is disclosed for processing pallets of cased goods received at a facility, extracting packaging for the cases and transferring eaches within the cases to totes, possibly organized by SKU in sub-totes within the tote.
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 operations comprising: evaluating, using a price band determination model, degrees of expensiveness of items relative to each other in item type categories; generating, using the price band determination model, price bands associated with item type categories; assigning each of the items to a respective one of the price bands associated with a respective one of the item type categories; and presenting, to one or more end-user applications, at least one other item corresponding to at least one of the price bands associated with at least one of the item type categories. Other embodiments are disclosed.
A communication protocol provides for a smartphone transmitting location information to a control circuit and the control circuit then determining whether the smartphone is within a predetermined distance of a particular facility, and, when true, determining whether a temporal flag is active for the smartphone. If true, the control circuit does not respond to the smartphone. When the smartphone is within the predetermined distance of the particular facility and that temporal flag is not active, however, the control circuit transmits an in-app alert to the smartphone to provide the user with an opportunity to indicate whether the user will now take a particular action, or not. When the smartphone transmits a not-now message to the control circuit, the latter sets the aforementioned temporal flag.
Systems and methods for identifying, tracking usage of, and replenishing products on a shelf of a product storage unit include a pressure sensor array positioned on the shelf and configured to detect forces exerted on the pressure sensor array by each of the products located on the shelf. An electronic database stores reference pressure array data representative of a reference pressure data model relative to each of the products. A computing device obtains a pressure data set associated with a product that was captured by the pressure sensor array when the product was positioned on the pressure sensor array, and correlates the pressure data set associated with the product with the reference pressure array data stored in the electronic database to determine an identity of the product and a consumption level of the product, automatically replenishing the product when consumption of the product is above a set threshold.
G01G 19/52 - Weighing apparatus combined with other objects, e.g. with furniture
F25D 9/00 - Devices not associated with refrigerating machinery and not covered by groups ; Combinations of devices covered by two or more of the groups
G06Q 10/0631 - Resource planning, allocation, distributing or scheduling for enterprises or organisations
An out-of-stock indicator is received that indicates a product is out-of-stock or believed to be out-of-stock. Information about the features of the products and store are obtained or determined. The features are applied to a first machine learning model, which yields a probability that the item is out-of-stock. The obtained probability is compared to a threshold, and if the probability value is above a threshold, then the PI value is adjusted. If not above the threshold, then scans are monitored for out-of-stock conditions, and some time later the features will be applied to a different model, and the above-process repeated. In aspects, this process occurs over a certain time period or until the PI is adjusted.
A system can include 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: (1) determining, by a predictive algorithm via a machine learning model, one or more predicted bids for one or more keywords in one or more campaigns; (2) adjusting the one or more predicted bids for the one or more keywords in the one or more campaigns; (3) pacing the one or more predicted bids for the one or more keywords by multiplying the one or more predicted bids by a pacing factor; iteratively adding real-time data to a training data set for the predictive algorithm; and iterating (1)-(3) at one or more periodic intervals as the real-time data is added to the training data set. Other embodiments are disclosed herein.
An electronic indication of a nil pick is received. Item information associated with the desired product, sales data concerning the desired product, supply chain information associated with the desired product, and a perpetual inventory (PI) value of the desired product are stored. An adjustment to the PI of the desired product is blocked when a predetermined event occurs at the retail store, or when information that contradicts the validity of the nil pick is received from the retail store. When the adjustment to the PI of the desired product is not blocked, an amount of the adjustment is determined based upon one or more of: the item information associated with the product, the sales data concerning the product, and the supply chain information associated with the desired product.
A method including generating, by separate instances of a multi-threaded worker system, respective lists of zip codes that fulfillment nodes in a fulfillment network can deliver to via ground shipping within a first shipping time period, based at least in part on preliminary eligibility information and an evaluation of current factors. The method also can include transforming, with an aggregator system, the respective lists of zip codes to generate a mapping from each zip code in the respective lists of zip codes to a respective list of the fulfillment nodes that can deliver via ground shipping to each zip code within the first shipping time period. The method additionally can include receiving a request comprising an input zip code and an input shipping time period. The method further can include, in response to the request, generating a response comprising a list of the fulfillment nodes based on the mapping, such that each fulfillment node in the list of the fulfillment nodes can deliver to the input zip code via ground shipping within the input shipping time period. The method additionally can include determining, in real-time while a webpage for an item loads, a shipping speed to display to a user for the item based at least in part on the list of the fulfillment nodes. Other embodiments are described.
A system for rush order fulfilment optimization is discussed. The system includes mobile devices that are each associated with a worker and a rush fulfillment engine executed by a computing system which dynamically updates a task queue of each worker upon receipt of a new rush order according to a task completion rate difference between an estimated task completion rate and the current task completion rate of the worker.
Systems and methods for template generation are disclosed. In response to receiving a request for a resource from a user device, a set of available network identifiers is identified based on the request and a subset of identifiers of the set of available network identifiers is selected based on filtering criteria and the request. A new record defining the resource is generated by mapping the resource to each identifier of the subset of identifiers and a template is generated based on a set of rules identifying the subset of identifiers and the new record. The template is transmitted to a deployment system.
H04L 47/762 - Admission control; Resource allocation using dynamic resource allocation, e.g. in-call renegotiation requested by the user or requested by the network in response to changing network conditions triggered by the network
85.
SYSTEMS AND METHODS FOR ASSOCIATING A USER'S SHOPPING EXPERIENCES ACROSS MULTIPLE CHANNELS
Systems and methods for synchronizing a customer's shopping experience over multiple channels are disclosed. A transaction record is generated in response to a purchase of goods, and transaction data is extracted from the transaction record and stored in a transaction database. Customer identities are extracted from the transaction record and stored in a customer identity database, wherein the transaction data extracted from the transaction record is associated with the customer identities. A plurality of customer identities are identified that are associated with a user and those identified customer identities that are applicable to the use case of the system are determined. Use case specific information is generated based, at least in part, on transaction data associated with each of the determined customer identities.
G06Q 30/0201 - Market modelling; Market analysis; Collecting market data
G06F 16/20 - Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
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 credentials; Review and approval of payers, e.g. check of credit lines or negative lists
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: authenticating at least one source of online data transmissions that matches a respective computing device of a user; batching the online data transmissions into one or more micro-batches; transmitting the one or more micro-batches to one or more respective backend services; receiving respective responses from the one or more respective backend services in response to each one of the one or more micro-batches; and performing each respective task of one or more tasks associated with the respective responses. Other embodiments are disclosed.
H04L 9/32 - Arrangements for secret or secure communications; Network security protocols including means for verifying the identity or authority of a user of the system
H04L 47/80 - Actions related to the user profile or the type of traffic
Examples provide a method and system for customized item decanting. A decant manager, implemented on a processor, identifies a destination tote in a set of totes for placement of a selected item. The decant manager controls a robotic decanting device to remove the selected item from a selected case and places the selected item into the destination tote. The decant manager analyzes sensor data and item data associated with the selected item to confirm an identification of the selected item placed into the destination tote for inventory update.
09 - Scientific and electric apparatus and instruments
24 - Textiles and textile goods
Goods & Services
Digital media streaming devices, namely, streaming sticks; digital media streaming devices, namely, streaming boxes; USB webcams; mouse pads. Backdrops for use in photography and videography
09 - Scientific and electric apparatus and instruments
14 - Precious metals and their alloys; jewelry; time-keeping instruments
Goods & Services
Projectors, namely, video projectors; digital projectors; antennas; charging and protective cases for earphones and earbuds; USB Flash Drives; SSD and SD cards; car video cameras for use as mounted on the dashboard of a vehicle and used to continuously record activity through the vehicle's windshield; Car cell phone holder and mounts for use in cupholders or attached to dashboard or windshield Magnetic car cell phone mounts. Alarm clock, Clocks.
09 - Scientific and electric apparatus and instruments
35 - Advertising and business services
42 - Scientific, technological and industrial services, research and design
Goods & Services
(1) Computer software applications; computer software applications; computers and computer software for compiling, transmitting, archiving, managing and processing data; search engines [software] for computers; application software for cloud computing services; machine learning software for finance; machine learning software used in analytical computer programs; machine learning software used in business intelligence software; database software; data understanding software; data management software; database synchronization software; computer software for creating searchable databases of information and data; computer software for sales management; interactive business management software; downloadable inventory management software; downloadable inventory management software (1) Market research and statistical analysis; analysis of market research data; analysis of economic forecasts for business purposes; analysis of economic forecasts for business purposes; analysis of advertising and market research effect; market analysis and research; strategic business analysis; business advisory and market analysis; market analysis consulting; market research and market analysis; market research and analysis; market research and analysis; business analysis and information services and market research; market research and analysis services; consulting in the field of business management and marketing; marketing studies; planning, development and implementation of marketing strategies; marketing advisory services; advice on the analysis of consumer buying habits; consumer profiling for business or marketing purposes; business information agencies for the provision of business reports, including demographic or marketing data; advice on the analysis of consumer buying habits and needs with the help of sensory, quantitative and qualitative data; statistical evaluations on market research data; collection, systematization, compilation and analysis of commercial information and data stored in computer databases; listing broker services as consumer profiling services for commercial or marketing purposes.
(2) Design and development of computer software; temporary electronic storage of information and data; provision of temporary access to online software applications and tools; provision of temporary access to non-downloadable online software to manage databases; provision of non-downloadable online software (application service providers); provision of temporary use of non-downloadable software for financial data analysis and reporting; software as a service (saas); server hosting, software as a service (saas), and software rental.
09 - Scientific and electric apparatus and instruments
35 - Advertising and business services
37 - Construction and mining; installation and repair services
Goods & Services
Mobile applications for retail automotive center management, namely, scheduling automotive maintenance and repair services, purchasing automotive goods, and housing vehicle maintenance and workorder history Retail store services featuring automotive goods provided via downloadable mobile applications Vehicle maintenance consultation; Automotive maintenance services; Vehicle maintenance and repair
09 - Scientific and electric apparatus and instruments
38 - Telecommunications services
42 - Scientific, technological and industrial services, research and design
Goods & Services
Mobile applications with voice activated chat capabilities for transmission of messages among users in the field of retail; Communications software for connecting consumers with customer service representatives in the field of retail; Software for transmission of messages among users in the field of retail; Chatbot software for replying to questions from online retail store customers related to consumer goods Electronic transmission of messages Providing on-line, non-downloadable, chatbots for transmission of messages among computer users concerning retail customer service
93.
MICRO FULFILLMENT CENTER WITH G2P STORAGE WITH FRESH ORDER-LINE BATCH PICK FROM STORE FLOOR AND METHOD OF OPERATING SAME
A store includes a self-service area where shoppers select goods from shelves, and an automated goods-to-person (G2P) area where stored goods are transported by mobile robots to a picking workstation or automated fulfillment of online orders. In one example, fresh order-line goods may be batch picked from the self-service area and transferred to the G2P area for automated fulfillment of orders for the fresh order-line goods. Fresh order-line goods may for example include meats, produce and other fresh foods packaged in the store deli or butcher which require some secondary operation before they can picked into a finished order.
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 operations comprising: displaying, one or more instructions on a user interface of a mobile device to instruct a user to capture each respective image of a prescription label; determining, using contrast, a location of each respective image in the set of images that is associated with the respective different portions of the prescription label on the medication package; reconstructing each of the respective different portions of the prescription label on the medication package as a flattened reconstruction of the respective different portions of the prescription label; and providing for display on the user interface a reconstructed prescription label. Other embodiments are disclosed herein.
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
G16Z 99/00 - Subject matter not provided for in other main groups of this subclass
G16H 30/20 - ICT specially adapted for the handling or processing of medical images for handling medical images, e.g. DICOM, HL7 or PACS
G06V 30/142 - Image acquisition using hand-held instruments; Constructional 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
Some embodiments provide retail inventory identification systems, comprising: a mobile product mapping system comprising: a transport system, a tower housing, and a cluster processing system comprising: a plurality of product identifying (PI) systems each in different orientations and directed along different fields of view, and a mobile control circuit; wherein the PI systems each comprise an image capture system, and a location determination system, wherein each of the plurality of PI systems is configured to: capture images of products supported on product support systems; and locally process the images comprising applying a plurality of different machine learning modeling techniques, to infer identification of multiple products and generate product identifying information in association with location information; and the mobile control circuit is configured to generate product identifying mapping of products as the product mapping system moves; and communicate the generated product identifying mapping to an inventory management system.
G06V 10/764 - Arrangements for image or video recognition or understanding using pattern recognition or machine learning using classification, e.g. of video objects
G06Q 30/06 - Buying, selling or leasing transactions
96.
SYSTEMS AND METHODS FOR ASSISTING WITH MERCHANDISE PURCHASES AT A RETAIL FACILITY
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.
Described in detail herein is a forecasting system. In one embodiment, the system can generate forecast data for the amount of labor and physical objects needed at various facilities.
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 organisation; Planning actions based on goals; Analysis or evaluation of effectiveness of goals
G06Q 10/04 - Forecasting or optimisation specially adapted for administrative or management purposes, e.g. linear programming or "cutting stock problem"
In some embodiments, systems and methods provide distributed item authentication. In some embodiments systems comprise: a housing; a set of sensor systems; a transceiver; and an authentication control circuit configured to: obtain first sensor data of an item being authenticated, obtain an initial identification of the item; access an item authentication block specific to the item; obtain a first set of authentication instructions; control one or more sensor systems in accordance with the first set of authentication instructions; compare multiple current authentication sensor data to the set of multiple historic authentication sensor data; confirm that each of a threshold number of the multiple current authentication sensor data is consistent within a threshold variation of a corresponding one of the set of multiple historic authentication sensor data; and cause the item authentication block to be updated to include the confirmation of authentication of the item.
H04L 9/32 - Arrangements for secret or secure communications; Network security protocols including means for verifying the identity or authority of a user of the system
G06F 16/27 - Replication, distribution or synchronisation of data between databases or within a distributed database system; Distributed database system architectures therefor
H04L 9/06 - Arrangements for secret or secure communications; Network security protocols the encryption apparatus using shift registers or memories for blockwise coding, e.g. D.E.S. systems
99.
SYSTEM AND METHOD FOR FORECASTING DELIVERIES VIA BLOCKCHAIN SMART CONTRACTS USING HYPERSPECTRAL COMPUTER VISION
A supply chain forecasting system with blockchain controls is discussed. The supply chain forecasting system can include a central computing system communicating with a third party computing system. The central computing system and third party computing system can initiate, adjust, and fulfill smart contracts associated with the delivery of physical objects using blockchain controls.
H04L 9/06 - Arrangements for secret or secure communications; Network security protocols the encryption apparatus using shift registers or memories for blockwise coding, e.g. D.E.S. systems
An automated container cutting system includes a cutting tool configured to cut a container and a force feedback sensor operatively connected to the cutting tool. The force feedback sensor is configured to measure resistive force exerted on the cutting tool. The automated container cutting system includes a processor communicatively coupled to the force feedback sensor. The processor is configured to receive resistive force data from the force feedback sensor and determine whether the cutting tool has penetrated through the wall of the container using the received resistive force data.
B23Q 17/09 - Arrangements for indicating or measuring on machine tools for indicating or measuring cutting pressure or cutting-tool condition, e.g. cutting ability, load on tool
B23Q 15/14 - Control or regulation of the orientation of the tool with respect to the work
B25J 11/00 - Manipulators not otherwise provided for
B25J 13/08 - Controls for manipulators by means of sensing devices, e.g. viewing or touching devices
