Abstract: 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.

Abstract: Systems and methods including one or more processors and one or more non-transitory storage devices storing computing instructions configured to run on the one or more processors and perform acts of: determining price bands for an item type category; associating items included in the item type category with the price bands; analyzing, using an affinity prediction model of the machine learning architecture, price band activity data indicating interactions of a user with respective items included in each of the price bands for the item type category; and generating one or more price affinity predictions for the user based, at least in part, on the price band activity data, wherein the one or more price affinity predictions predict a preference of the user for respective items associated with one or more of the price bands. Other embodiments are disclosed herein.

Abstract: 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.

Abstract: A system including one or more processors and one or more non-transitory storage media storing computing instructions that, when executed on the one or more processors, cause the one or more processors to perform operations including: receiving an order list for delivery at a delivery address; determining an estimated order collection time; continuously monitoring, in real-time, a respective location of each delivery driver of one or more delivery drivers of at least one delivery service by receiving the respective location of each delivery driver of the one or more delivery drivers from a respective delivery driver electronic device of each delivery driver; and instructing a first delivery driver of the one or more delivery drivers to pick up one or more items in the order list and deliver the one or more items to the delivery address. Other embodiments are disclosed herein.

Abstract: A system comprising one or more processors and one or more non-transitory computer-readable storage devices storing computing instructions, when executed on the one or more processors, cause the one or more processors to perform operations comprising: generating a respective similarity score pair comprising an item and one or more potential matches to the item for each item in a set of items; determining a respective page number similarity score between each item and one or more of the one or more respective sub-categories of each item for each item in the set of items; re-ranking one or more remaining respective potential matches; and inserting one or more hyperlinks into an anchor webpage comprising the item, wherein the one or more hyperlinks are configured to navigate a user from the anchor webpage to one or more potential match webpages, as re-ranked. Other embodiments are disclosed herein.

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: 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: 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: 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: Systems and methods including one or more processors and one or more non-transitory storage devices storing computing instructions configured to run on the one or more processors and perform acts of storing, for each respective customer of one or more customers, respective customer information in a customer database; predicting, using a machine learning lifetime value (LTV) update model, a respective LTV for each respective customer of the one or more customers; determining an online advertisement for each respective customer of the one or more customers using the respective LTV, as predicted, for each respective customer of the one or more customers; and coordinating displaying the online advertisement for at least a portion of the one or more customers. 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: 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, 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 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 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: 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 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.