Abstract: This application relates to apparatus and methods for automatically associating customer data to a corresponding customer. A computing device may receive linking data identifying a plurality of links, where each like associates at least two nodes that each represent customer data. The computing device may partition the linking data into multiple partitions, and cause a union find algorithm to be executed for each partition in parallel to associate each node with a parent ID. The computing device may iteratively execute a global shuffle algorithm to place all same nodes in a same partition, and may assign a same parent ID to the same nodes. The computing device may iteratively execute a path compression algorithm across all partitions to generate a graph output that associates all child nodes of a same parent node with the same parent ID.

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: 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.

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: creating an adjacency list for candidate items using a distance threshold; generating graphs of the candidate items in the adjacency list, wherein nodes of the graphs represent the candidate items, and wherein edges of the graphs represent respective predicted variant neighbor links between pairs of the candidate items; determining, using breakdown logic, first graphs of the graphs that exceed a predetermined size; performing divisive hierarchical clustering on each of the first graphs; and identifying recommended variant groups of the candidate item in the nested subclusters of the hierarchy dendrogram below the respective cut-off value. Other embodiments are described.

Abstract: A delivery tower for receiving a package from an aerial vehicle. The delivery tower has a table top coupled to a base. The base includes telescoping members. The delivery tower has a controller and communications module operably coupled to the base. The table top moves between a first, retracted position and a second, extended position with extension of the telescoping members. In the first, retracted position the delivery tower is configured to operate as an outdoor table. In the second, extended position, the delivery tower is configured to receive a package from the aerial vehicle.

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 cause the one or more processors to perform receiving one or more user utterances; re-training a pre-trained natural language processing (NLP) algorithm on the one or more user utterances; using the pre-trained NLP algorithm, as re-trained, as one or more layers in a neural network; combining at least one first output of at least one first output layer of the neural network with at least one second output of at least one second output layer of the neural network to create a final output of the neural network, wherein: the at least one first output layer of the neural network is different than the at least one second output layer of the neural network; and wherein the pre-trained NLP algorithm, as re-trained, is used to determine the final output of the neural network; and coordinating displaying a customized graphical user interf

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

Abstract: A workstation receives bots carrying order totes and bots carrying product totes for transfer of goods from the product totes to the order totes. The workstation comprises a robot for automated transfer of goods between the product and order totes, but may also have a station for an operator to perform manual transfer. Cameras may be provided to capture images of the product and/or order totes to identify contents of totes and to identify positions where goods are to be picked from the product totes and placed into the order totes.

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 execute operations: determining, using a weight determination model of a machine learning architecture, (a) token weights for tokens included in a search query and (b) extraneous tokens from among the tokens based on at least the token weights; comparing the token weights for the tokens to a probability threshold; segregating, based on at least the token weights, the extraneous tokens from a remainder of the tokens; after segregating, identifying first tokens of the remainder of the tokens that satisfy the probability threshold; and identifying, based on the first tokens of the remainder of the tokens that satisfy the probability threshold, search results for the search query. Other embodiments are described.

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 operations: determining a personal replenishment cycle for an item of a set of items previously purchased by a user; identifying that the user has stopped purchasing a first item in the set of items; removing the first item from the set of items after identifying that the user has stopped purchasing the first item; and reducing a number of database requests for the set of items previously purchased by the user based on the personal replenishment cycle for the item. Other embodiments are described.

Abstract: Examples provide a system for watering plants on a rack. Sensor data is analyzed to generate a status of a plant on a rack and updated water instructions are generated. A robotic device moves the selected plant rack to a watering zone. A release of water onto the selected plant rack within the watering zone is detected and a set of rotational maneuvers is initiated to enable equal water distribution across the selected plant rack. The selected plant rack is then return to the original, assigned location based on a cessation of water emissions being detected.

Abstract: A heel insert is provided for an article of footwear that includes an upper defining a foot-receiving cavity having an ankle opening. The heel insert includes a base. The heel insert includes a spine extending outward from the base to a tip of the spine such that the spine extends upward along a posterior wall of a heel region of the upper toward the ankle opening when the base is operatively connected to the heel region. The tip of the spine is moveable relative to the base between a first position and a second position along a longitudinal axis of the article of footwear. The heel insert includes a spring operatively connected to the spine such that the spring biases the tip of the spine toward the first position of the tip. The tip of the spine is resiliently deflectable toward the second position against the bias of the spring.

Abstract: An optimized substitution system can include a computing device that is configured to receive a notification indicating an order and a first item identifier and, based on the first item identifier, identify a set of substitute item identifiers. Each substitute item identifier of the set of substitute item identifiers includes a probability value using an optimization computation based on a similarity and a value of the corresponding set of substitute item identifiers and the first item identifier. The similarity and the value are stored in a database. The compute device is also configured to, based on the probability values corresponding to the set of substitute item identifiers, select a first substitute item identifier of the set of substitute item identifiers and update the order to include the first substitute item identifier and exclude the first item identifier.

Abstract: Described in detail herein is an autonomous object storage and retrieval system. In one embodiment, an object storage and retrieval system includes a computing system hosting a service application and in communication with a database and storage and retrieval apparatuses configured to store and dispense physical objects. Each storage and retrieval apparatus is in communication with the computing system. The computing system can transmit instructions to a first one of the storage and retrieval apparatuses to render the status of the first physical object on the interactive display of the storage and retrieval apparatus.

Abstract: In some examples, a system may be configured to obtain a set of features of a set of users including one or more features of transaction of the set of users and one or more features of engagement data of the set of users. Additionally, the system may be configured to implement a first set of operations that generate output data including a plurality of churn scores, based on the set of features. In some examples, each churn score of the plurality of churn scores being associated with a particular user of the set of users and characterize a likelihood of a churn event of the corresponding user.

Abstract: In some examples, a system may configured to execute the instructions to based on the modular data of a peg modular, the item data and the draw strategy data, implement a set of modular placement optimization operations that generate a first modular dataset. In some examples, the set of modular placement optimization operations includes, determining, from a group of items, a combination of items to place onto the peg modular and, for each item of the combination of items, a placement position on the peg modular, and a number of facings. Moreover, the set of modular placement optimization operations includes generating the first modular dataset. Further, the system may be configured to execute the instructions to, based at least on the modular data the first modular dataset, implement a set of operations that determine whether to add additional facings.

Abstract: A method includes receiving an electronic feed inventory file; creating a feed message including a batch of inventory messages based on the feed inventory file; placing the feed message in a message queue; performing validation of each of the inventory messages; generating a response to each invalid inventory messages; generating a first batch of response message including the responses to the invalid inventory messages; publishing the first batch of response message to the message queue; updating a first database based on validated inventory messages; generating responses to each of the validated inventory messages; generating a second batch of response message including the responses to the validated inventory messages, the first and second batch of response message having the batch identification; publishing the second batch of response message to the message queue; and updating a second database based on the first and second batch of response messages.

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: In some embodiments, apparatuses and methods are provided herein useful to monitoring condition compliance. In some embodiments, a system comprises a child device comprising a child device sensor configured to capture condition data, a child device memory configured to store the condition data, a child device transmitter configured to transmit the condition data, and a control circuit configured to cause transmission of a discovery message, receive acknowledgment messages, determine if the discovery message reached a parent device, if the discovery message reached a parent device, cause transmission of the condition data to the parent device, and if the discovery message did not reach a parent device, determine, from the other devices, one of the other devices, and cause transmission of the condition data to the one of the other devices, and the parent device configured to store and transmit condition data received from a plurality of child devices.

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, perform: receiving user search queries and product items, the product items including metadata corresponding to product types; determining a data relationship between the user search queries and the product items based on a weighting factor, the data relationship including user search query nodes and product item nodes; determining a first vector representation for first ones of the product item nodes in the data relationship; determining a second vector representation for second ones of the product item nodes in the data relationship; grouping the first vector representation for first ones of the product item nodes and the second vector representation for second ones of the product item nodes into a product type group based on a proximity search; and modifying the metadata corresponding to the product types based on the p

Abstract: Examples provide a multi-factor device holder (MDH) for storing multi-factor authentication devices. A housing encases a set of ports configured to connect to the set of connectors on two or more multi-factor authentication devices placed within the MDH. An external port can connect the MDH to a port on a user device. A selection device, such as a user interface, enables user selection of an authentication device from the set of authentication devices. A locking mechanism secures the housing in a closed configuration to prevent unauthorized access to the authentication devices stored within the MDH. The MDH can include a user authentication device, such as a biometric reader, to authenticate a user attempting to utilize the MDH. If authorized, the selected authentication device is unlocked and provided with power. The selected authentication device transmits a code to the user device via the external port connector.