Abstract: Apparatuses, components and methods are provided herein useful to provide assistance to customers and/or workers in a shopping facility. In some embodiments, a shopping facility personal assistance system comprises: a plurality of motorized transport units located in and configured to move through a shopping facility space; a plurality of user interface units, each corresponding to a respective motorized transport unit during use of the respective motorized transport unit; and a central computer system having a network interface such that the central computer system wirelessly communicates with one or both of the plurality of motorized transport units and the plurality of user interface units, wherein the central computer system is configured to control movement of the plurality of motorized transport units through the shopping facility space based at least on inputs from the plurality of user interface units.

Abstract: A system includes one or more processing modules and one or more non-transitory storage modules storing computing instructions configured to run on the one or more processing modules and perform acts of: configuring an exception event handler for a delivery system with a ruleset that enables proactive identification and resolution of delivery exceptions; monitoring a queue of incoming messages that are received from carriers indicating status information for shipments being handled by the carriers; detecting a first delivery exception for a first incoming message regarding first status information for a first shipment of products; determining a first exception type for the first delivery exception based on the ruleset; selecting, based at least in part on the exception type, a first automated corrective measure for the first delivery exception; and automatically executing the first automated corrective measure to resolve the first delivery exception. Other embodiments are disclosed herein.

Abstract: A delivery monitoring system comprises a portable camera positioned on a delivery person; a camera activation application executed by a mobile electronic device to control a video-generating operation of the portable camera; and a special-purpose processor that outputs a data instruction to an electronic locking device to unlock an entrance to a location for delivering an item by the delivery person only when the portable camera is recording video.

Abstract: System and methods for dynamic replenishment in a facility are disclosed. A mobile inventory processing device reads a machine readable tag affixed to a perishable item and transmits an indication of the perishable item to a stock inventory processing device. The stock inventory processing device retrieves a stock inventory value corresponding to the perishable item and a historic daily sales value for the perishable item from a database. The stock inventory processing device determines a restocking value based on whether the historic daily sales value exceeds the stock inventory value. The stock inventory processing device transmits a second indication to the mobile inventory processing device. The second indication correspond to insufficient shelf stock of the perishable item. The mobile inventory processing device receives the second indication and outputs an auditory alert in response to the second indication.

Abstract: Systems and methods for distributed risk analysis are discussed.

Abstract: A method can include retrieving product information from a website database to identify a first product as a value-sensitive product identified with at least a value price tag. The method can include determining second users who are not value conscious about the first product. The method can also include preparing first and second recommendations and promotions for the first product, wherein the first recommendation comprises one or more value-sensitive products. The method additionally can include transmitting machine readable instructions to display the first recommendations and promotions for the first product for viewing by the first user. The method also can include transmitting machine readable instructions to display the second recommendations and promotions for the first product for viewing by the second user. Other embodiments are disclosed herein.

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, cause the one or more processors to perform functions including: receiving a respective item description and at least one respective attribute value for each item of a set of items; generating at least one respective text embedding; generating a graph of the set of items based on at least co-view data to create pairs of items that are co-viewed by joining respective pairs of items; training the text embedding model and a machine learning model using a neural loss function based on the graph; and automatically determining, using the machine learning model, as trained, a label for each item of the set of items. Other embodiments are disclosed.

Abstract: A system including one or more processors and one or more non-transitory computer-readable storage media storing computing instructions that, when executed on the one or more processors, cause the one or more processors to perform: training a neural network detection model with a training dataset comprising synthetic training images by: using a transformation algorithm to create the synthetic training images by appending edge case training images to one or more compliant images; receiving, at the neural network detection model, as trained, at least one image; and determining, using the neural network detection model, as trained, whether the at least one image comprises non-compliant content. Other embodiments are disclosed herein.

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, cause the one or more processors to perform: outputting, by a machine-learning model, a probability that a user will re-order two or more items at a present time; determining the two or more items to recommend to the user based on the probability exceeding a predetermined threshold that the user will re-order the two or more items at the present time; sending instructions to display the two or more items to the user, wherein the user interface comprises a single-click option to add to an electronic cart the two or more items; and after receiving the single-click option from the user interface, adding the two or more items to the electronic cart. Other embodiments are disclosed.

Abstract: A system includes 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: selecting, by a greedy tote reduction algorithm within an infeasible totes loop, items that have a highest volume restriction and a highest weight restriction for each of a plurality of respective totes; iteratively executing a swap of the items; iteratively searching for candidate solutions until a solution of picklists for the plurality of respective totes containing the items, as swapped, is found; executing a minimum trolley loop algorithm on the solution of picklists to create combined picklists; and displaying to a picker on an interface of a computing device, turn-by-turn directions within a pick walk for the combined picklists. Other embodiments are disclosed herein.

Abstract: A method including receiving driver tracking information from a platform of a delivery driver network of multiple delivery driver networks. The method further can include determining a platform-dependent format of the driver tracking information; and when the platform-dependent format is different from a standard format, converting the driver tracking information from the platform-dependent format into uniform tracking information in the standard forma. Moreover, the method can include determining an estimated time of arrival; and verifying a reliability of an estimated delivery time of the driver tracking information. The method further can include when the reliability of the estimated delivery time is verified, incorporating the estimated delivery time into the uniform tracking information; and when the reliability of the estimated delivery time is not verified, incorporating the estimated time of arrival into the uniform tracking information as the estimated delivery time.

Abstract: A method including setting a preferred delivery route as an initial delivery route comprising original delivery stops.

Abstract: A system including one or more processor 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: extracting one or more feature values from at least one image of an insurance card of a user; generating a feature vector associated with the at least one image of the insurance card of the user; reducing, using dimensionality reduction, an amount of data in the feature vector to a reduced set of data; determining, by a machine learning model, a first insurance plan of the user based on machine learning model input data comprising the reduced set of data; identifying at least one alternative insurance plan for the user; and sending instructions to display a recommendation of the at least one alternative insurance plan on a user interface. Other embodiments are disclosed.

Abstract: A method including tracking impression response data in response to online impressions of content elements displayed to users of a website. The impression response data can include (i) first responses by the users in one or more physical stores in response to the online impressions, and (ii) second responses by the users in the website in response to the online impressions. The method also can include receiving a request from a user of the users to display a webpage of the website. The method additionally can include generating the webpage to include a content element selected from among the content elements based on a classification of the user and the impression response data for the content elements. Other embodiments of related systems and methods are described.

Abstract: A system including one or more processors and one or more non-transitory computer-readable media storing computing instructions configured to run on the one or more processors and perform: displaying content elements on one or more websites to users; performing a classification of the users into segments; receiving a request from a first user of the users to display a webpage of the one or more websites; determining an amount of information in a respective posterior distribution of each of the one or more first segments of the segments in which the first user is classified, for each of the content elements based on impression response data; selecting a selected content element from among the content elements based on weightings of the content elements for the one or more first segments; and generating the webpage comprising the selected content element. Other embodiments are disclosed.

Abstract: An approach is disclosed for mapping an intent of a query. The approach receives query data for one or more queries. The approach determines product type data of the one or more queries. The approach determines attribute data for the determined product type data. The attribute data includes sequence attribute data and sequence value data. The approach retrieves catalog data for one or more items that include product type data that matches the determined product type data. The catalog data includes catalog attribute data and catalog value data. The approach determines engagement data for the one or more received queries. The engagement data includes a number of times customers interacted with a retrieved item for a respective query. The approach determines cumulative engagement data based on the retrieved catalog data and the determined engagement data. The approach generates a probability and an evaluation score based on the cumulative engagement data.

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 receiving, at the one or more processors, an order from a customer electronic device; determining, using employee device data collected from one or more electronic devices of one or more employees of a store in a predictive analysis, an estimated collection time required for an employee of the one or more employees of the store to collect the one or more items of the order; receiving a check-in from an electronic device indicating that a pickup is en-route to pick-up the order; when the electronic device authorizes location tracking, tracking a location of the pickup after receiving the check-in from the electronic device; periodically determining, at one or more time intervals, an estimated travel time for the pickup to travel to the store from the location, as tracked; and when the estimated collection time is approxima

Abstract: Systems and methods for providing a project manager with a configurable platform from which to oversee the status of a project are discussed. A project management application provides a project manager with a granular oversight of individual tasks and a view of task dependencies in a sequence of tasks during a project's execution. A dashboard graphical user interface (GUI) provides graphical depictions of dynamically updated individual task status, group task status and overall project status that are viewable by both project managers and individuals assigned to perform tasks. Processing time associated with sending task notifications and reminder messages to individuals about their assigned tasks that have not been completed and/or acknowledged is reduced.