Abstract: Systems and methods for content selection and presentation are disclosed. Training data including indicating one or more interactions with one or more content elements and associated with one of a plurality of individual contexts is received. A selection model is trained by applying a reinforcement learning mechanism and an individual explore-exploit mechanism. A context for a user is selected by applying the selection model, which is configured to determine an expected future reward value of at least one of the plurality of individual contexts, determine an expected future reward value of a global context based on a past click-through rate, a reward value, and a future click-through rate, and, select the global context or one of the one or more individual contexts based on a comparison of the expected future reward values.

Abstract: An order fulfillment system is disclosed including a multi-level tote storage structure, one or more autonomous mobile robots configured to pick, transport and place one or more tote; one or more workstations configured to accommodate a picker that transports one or more eaches from a tote on one of the autonomous mobile robots to a “put” location, wherein the autonomous mobile robots are configured to move from level to level in the order fulfillment apparatus.

Abstract: A system, method and computer readable medium for dynamically determining location-based rules affecting item sales at POS registers for a particular location and for distributing the location-based rules to the POS registers is discussed. A location-based ruleset of rules regulating sales of items at an individual store is created and transmitted to the store along with a rule group to item map file that maps rules and warnings to individual store items. A rules engine at the store provides updated item sale rules and warnings to POS registers based on the location-based ruleset and rule group to item map file. Embodiments thus provide an improved system for updating POS registers at different store locations with location-based rules specific to the store location.

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 execute functions comprising: storing historical session data pertaining to user sessions and archived search queries submitted by users to a search engine; analyzing the historical session data to identify ambiguous queries, including semantically ambiguous queries and multi-language queries; monitoring search queries submitted to the search engine to detect the ambiguous queries; and in response to detecting an ambiguous query, generating a query resolution interface that displays categorical groupings, each of which corresponds to a possible intention of the ambiguous query. Other embodiments are disclosed herein.

Abstract: Some embodiments provide systems to determine contextual information comprising: an intent mining system that receive inquiry content that does not include personal identification information (PII) and is configured to determine an estimated intent information being sought by an intended recipient, identify a mapping to a sub-set of supplemental keywords corresponding to the intent information; and identify historic inquiries associated with actual historic product purchases relevant to the inquiry content and supplemental keywords, and obtain a listing of products associated with the inquiry content; a product association system that identifies a set of multiple products that each have a purchase threshold relationship with one or more products from the determined listing of products, and generate an enhanced listing of products; a topic extraction system that evaluates associations between product parameters of the enhanced listing of products to identify multiple associated topics and corresponding topic c

Abstract: The approaches described herein provide synchronization of data files across different databases used by different services and platforms. The services may be cloud-based services and include databases that include various types of data.

Abstract: The export of products from a jurisdiction is enabled by choosing export codes from a model. The electronic model comprises a branched tree defining a configuration of the export codes and selection criteria for the codes. The branched tree includes a plurality of branches and leaves. Each of the leaves includes an export code for a product, a probability that the export code for the product is accurate, and a description of the product. The tree is traversed to obtain the codes. The tree is trained to improve the quality of the selection process.

Abstract: An anti-skimming device includes a base configured to be mounted to at least one of a support structure or a card reader device. The base includes mounting openings configured to receive mounting hardware for securing the base to the at least one of the support structure or the card reader device. An arm extends outward from the base. The arm includes a flange extending such that a gap is defined between the flange and the base. The gap is configured to receive at least portion of the card reader device therein such that the flange of the arm overlaps a portion of a front side of the card reader device.

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 perform: receiving, by a chat bot and from a user, an indication to talk to a live agent; calling, by the chat bot, an automatic call distribution server to initiate a live-agent session for the user; storing metadata for the live-agent session in a distributed table and a distributed queue; pulling, from an automatic call distribution connector, one or more messages from a conversation between the user and the chat bot based on the metadata; and connecting the live agent to the user in the live-agent session, wherein the user communicates with the live agent in the live-agent session through a same interface for the chat bot. Other embodiments are disclosed.

Abstract: A technique for remote access via a computing device is discussed. In one embodiment, a computing device receives data indicative of a card number associated with a bank-issued debit card. The debit card is associated with a bank account at a bank that issued the bank-issued debit card. The computing device also receives data indicative of an amount of cash to be deposited into the account based on an amount of cash provided at the computing device location. Encrypted data indicative of the card number and the data indicative of the amount of cash is routed to a gateway vendor server and is further routed to a payment network server for deposit of an amount corresponding to the data indicative of the amount of cash into the bank account associated with the card number.

Abstract: An advertising system is provided and generally includes a computing device that can receive attribute data from a plurality of information sources for an item. The computing device can determine a first number of sources for which the same attribute value for an attribute of the item is received, and can determine a second number of sources for which any attribute value for the same attribute of the item is received. The computing device can generate an attribute confidence value for the attribute based on the first number of sources and the second number of sources, indicating how likely the attribute value for the attribute is correct. The computing device can determine an item confidence value for the item based on multiple attribute confidence values for the item. Based on the item confidence value, the computing device may provide an attribute error signal indicating an attribute value error.

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: receiving stock images comprising an anchor garment; automatically identifying the anchor garment and complementary garments within the stock images; selecting an image of the stock images in which a mask area of a first complementary garment of the complementary garments as a ratio of an area of the anchor garment is largest over other complementary garments of the complementary garments; performing an image search, using the image, in an item catalog for similar garments to the first complementary garment; and displaying, on a user interface, an avatar wearing the anchor garment and at least one of the similar garments. Other embodiments are disclosed.

Abstract: An automated in-rack picking solution enables improved efficiency by permitting automatic reconfiguration of automated picking system (APS) deployments within an automated storage and retrieval system (ASRS). The storage volume of an ASRS can be more thoroughly utilized, even with a smaller number of APSs, when at least one APS is operable to autonomously relocate within the ASRS based at least on a stored item's location and/or property (e.g., suitability for handling by a particular end effector). An exemplary solution includes an APS positioned to reach stored items within a first subset of storage locations when affixed to a first attachment point; a transport component operable to relocate the APS to a second attachment point, wherein the APS is positioned to reach stored items within a second subset of the storage locations when affixed to the second attachment point; and a controller operable to instruct relocation of the APS.

Abstract: Exemplary embodiments provide a transportation staffing management system. An amount of transportations miles are forecasted for delivering inventory from a distribution enter to a store based on a sales forecast for a store. Non-driving time for drivers engaged in delivering inventory to a store is tracked based on data collected in real-time from mobile computing devices associated with delivery vehicles. An amount of time needed to deliver the inventory based on the forecasted amount of transportation miles and non-driving is calculated. An optimal transportation workload is generated for the distribution center based on the amount of time, data from a first database storing data from a central office, and data from a second database storing data from a distribution center.

Abstract: A method including training a logistic regression model to create a trained model to provide probabilities of users clicking on emails of one or more email campaigns within each of multiple different time periods. Input predictor variables of the logistic regression model include (i) user feature data including personal user features and online activity history for users in the multiple different time periods and (ii) email feature data including sent times and item category data for multiple different emails in the one or more email campaigns. Output dependent variables of the logistic regression model include responses by the users to the one or more email campaigns. The method also includes triggering sending a first email of the one or more email campaigns to a first user of the users at a selected time period based at least in part on the trained model. Other embodiments are disclosed.

Abstract: In some embodiments, apparatuses and methods are provided herein useful to reassigning meeting rooms. In some embodiments, a system comprises a mobile device configured to receive user input to request a meeting room, determine a location of the mobile device, and transmit an indication of the request, the location of the mobile device, and the user, sensors associated with the meeting rooms configured to detect occupancy of the meeting rooms, a scheduling database configured to store scheduling information for the meeting rooms, the control circuit configured to receive the indication of the request, the location of the mobile device, and the user, determine that all meeting are booked, receive occupancy information for the meeting rooms, determine that one of the meeting rooms is unoccupied, reassign the one of the meeting rooms to the user, and cause transmission of a notification that the one of the meeting rooms has been reassigned.

Abstract: A rack or racking system is disclosed for use in inventory management, order fulfillment and automation-based capacity planning. The racking system includes expandable and collapsible racks used to transport containers, for example, totes, which in the expanded configuration can attach to a load/unload fixture that enables bots to load totes onto the racks and/or unload totes from the racks, and in the collapsed configuration can be loaded onto a truck that transports the totes between facilities.

Abstract: 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.

Abstract: This application relates to automated processes for determining item placement compliance within retail locations. For example, a computing device may obtain an image of a fixture within a store. The image may be captured by a camera with a field of view directed at the fixture. The computing device may apply a segmentation process to the image to determine a portion of the image. Further, the computing device may determine a correlation between the portion of the image and each of a plurality of item image templates. Each item image template may include an image of an item the retail location sells in the retail location. The computing device may determine, based on the correlations, one of the plurality of item image templates and its corresponding item. The computing device may then determine whether the item should be located at the fixture based on a planogram.