Abstract: A fully automated supply chain, in combination with tracking technology and the unified commerce engine (UCE) enables the exact location of every item (or each) to be tracked from the manufacturer's facility to a customer's bag. Eaches are tracked using the UCE as they move within and between one or more regional distribution centers and a market distribution center.

Abstract: Systems and methods 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 functions comprising: receiving in-session user activity comprising types of user interactions during a browsing session displayed by a graphical user interface (GUI) of an electronic device of a user; generating a distribution of interaction counts of interactions with the GUI over a period of time; predicting, using a set of predictive algorithms, one or more intents of the user based on the distribution of interaction counts; and transmitting instructions to display an altered GUI on the electronic device of the user based on the one or more intents of the user, as predicted. Other embodiments are disclosed herein.

Abstract: 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.

Abstract: 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.

Abstract: In some embodiments, systems and methods are provided herein useful to assess or determine available cargo capacity for multiple commercial product delivery vehicles (“delivery vehicles”). 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 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.

Abstract: Systems, methods, and machine readable media are provided for automated product sorting and coordinated delivery using autonomous delivery vehicles within a facility. In exemplary embodiments, a system scans machine readable identifiers affixed to items, and sorts the items into two or more categories. A selected item is identified as scheduled to be picked up in-facility based on the scanning of the machine-readable identifier. An optimal route within the facility from the automated sorting device to an in-facility location is determined for a selected autonomous delivery vehicle based at least in part on at least one of facility traffic patterns, locations of other autonomous delivery vehicles, a number of items to be delivered, and additional tasks that can be performed by the selected autonomous delivery vehicle while delivering the item. The selected autonomous delivery vehicle navigates along the optimal route to the in-facility location to deliver the selected item to the in-facility location.

Abstract: A method being implemented via execution of computing instructions configured to run at one or more processors and stored at one or more non-transitory computer-readable media. The method can include training two sets of item embeddings for items in an item catalog and a set of user embeddings for users, using a triple embeddings model, with triplets. The triplets each include a respective first user of the users, a respective first item from the item catalog, and a respective second item from the item catalog, in which the respective first user selected the respective first item and the respective second item in a respective same basket. The method also can include randomly sampling an anchor item from a category of items selected by a user. The method additionally can include generating a list of complementary items using a query vector associated with the user and the anchor item.

Abstract: 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: generating a schedule summary comprising one or more selectable portions of availability for drivers; receiving a selection of an unfilled portion of a respective schedule for a respective driver of the drivers adds the respective driver to a list of respective drivers to be scheduled on the schedule summary displayed on a GUI of an electronic device of a user; receiving one or more selections of the one or more selectable portions of availability of the schedule summary causes one or more changes to occur on the schedule summary displayed on the GUI of the electronic device of the user; and displaying one or more schedules for the drivers. Other embodiments are disclosed herein.

Abstract: A method including obtaining real-time observed orders per minute (OPM) data. The method also can include training a prediction model to make a real-time OPM prediction for a current time period, based on the real-time observed OPM data over past time steps based on lagged time steps in a moving average. The method additionally can include determining, in real-time, whether a demand surge exists based on the real-time observed OPM data and the real-time OPM prediction, to generate a first surge modifier. The method further can include when the demand surge exists, generating, in real-time, a sub-hour revenue per click (RPC) prediction for a first sub-hour time interval. The method additionally can include determining, in real-time, the first surge modifier for the first sub-hour time interval. The method further can include uploading, in real-time, the first surge modifier to a dayparting system of a search engine to bypass existing time intervals and modifiers. Other embodiments are described.

Abstract: A method including analyzing the query data to formulate one or more groups of synonym candidates, wherein each synonym in the one or more groups of synonym candidates is categorized in one or more synonym candidate categories. Reformulating the first search query by removing at least one synonym candidate from the first group of synonym candidates to form a first set of synonyms such that each synonym in the first set of synonyms is categorized in the synonym candidate category that matches the search query category of the search query, wherein the at least one synonym candidate removed from the first group of synonym candidates is not categorized in the synonym candidate category.

Abstract: 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, perform certain acts. The acts can include 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 being loaded with stacks of pallets comprising the preloaded stacks and unloaded stacks. The acts also can include determining positions of empty floor spots remaining in the trailer. The acts 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. The acts further can include determining a second portion of the incremental load design. The acts additionally can include updating the incremental load design based on an overall load design of the trailer.

Abstract: 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; transmits an item cost for the suggested item to a dispatch application; receives, from the dispatch application, a selection of the suggested item from the user of the client device; transmits a message directing the robotic delivery vehicle to deliver the suggested item having been selected; and transmits a message to a facility associated with the robotic delivery vehicle.

Abstract: In some embodiments, methods and systems are provided that provide for monitoring and controlling communication capabilities of unmanned transport vehicles that via one or more intermediate communication devices that provide relay communications between the unmanned transport vehicles and a control station device when the unmanned transport vehicles travel through areas where the network quality does not permit direct communication between the unmanned transport vehicles and the control station device.

Abstract: Examples provide a system for system for customized item decanting. A robotic picker device is configured to remove a selected item from a selected case in an open configuration on a conveyor device. A decan manager, implemented on a processor, is configured to identify a destination tote in a set of totes for placement of the selected item, The robotic picker device places the selected item into the destination tote and 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.

Abstract: 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.

Abstract: A workstation is disclosed for transferring objects between containers such as product and order totes in an order fulfillment system. The workstation may include an object pick system, for example including a measuring array or a machine vision system, which directs and monitors the transfer of objects between the containers.

Abstract: 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: classifying one or more webpages of a website into one or more classifications using interaction data, a content score, and a link equity score, each for the one or more webpages and removing, based on the one or more classifications, the one or more webpages from the website and from a sitemap of the website. Other embodiments are disclosed herein.

Abstract: 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: training a visual similarity model to output one or more vector representations in a vector space; determining one or more nearest neighbors based on embeddings nearest to a respective embedding in the vector space for the item; ranking the one or more nearest neighbors for the item in an order; re-ranking the order of the one or more nearest neighbors of the item into a re-ranked order; inserting, into a display of the item, the one or more nearest neighbors of the item; and facilitating altering a graphical user interface (GUI) to convey the display of the item. Other embodiments are disclosed herein.

Abstract: In some embodiments, apparatuses and methods are provided herein useful to automatically balance and buffer the return of empty containers or other totes to a plurality of areas. In some embodiments, a control circuit employs a logic system in which empty totes are directed along primary, secondary, or tertiary paths depending on information gathered from sensors regarding the availability of space for empty totes at a plurality of potential destinations. In this way, the return of empty totes to one or more points of origin may be buffered to balance the number of empty totes in one or more areas.