Abstract: In one embodiment a method includes storing in non-volatile memory a library of equipment configuration code files, each equipment configuration code file including configuration code for configuration and control of a work vehicle, for configuration and control of an attachment to be carried or towed by the work vehicle, or for combined configuration and control of both the work vehicle and the attachment in combination, receiving an altered version of at least one equipment configuration code file, the altered version including OEM data provided by or altered by an original equipment manufacturer of the work vehicle or the attachment, dealer or distributor data provided by or altered by a dealer or distributor of the work vehicle or the attachment, and user data provided by or altered by a user of the work vehicle or attachment, and storing the altered version in the non-volatile memory of the library.

Abstract: A system and method for automated machine learning supply chain planning having a computer with a processor and memory and configured to receive a first supply chain network model having one or more material constraints for operations of a first supply chain network. Embodiments include transforming the first supply chain network model into a digital image, training an auto-encoder model to reduce the dimensionality of an input vector, and locating one or more items in the first supply chain network.

Abstract: A system and method are disclosed to train machine learning models, generate software agents, and evaluate, via reinforcement learning, the actions of the software agents in a simulated ecosystem. Embodiments include a computer comprising a processor and memory and configured to train one or more machine learning models to generate one or more software agents, wherein each software agent comprises an autonomous software program designed to execute a task in a supply chain network. Embodiments generate a first software agent and a second software agent, and a simulated supply chain ecosystem representing a hierarchical structure of supply chain network tasks. Embodiments simulate one or more tasks executed by the software agents in the simulated supply chain ecosystem, review the tasks according to one or more defined objectives, and apply reinforcement incentives to the software agents.

Abstract: A computer-implemented method for automated forecasting of cash flow includes: monitoring, while a plurality of first transactions are being processed in a payment network, payable transaction data associated with the plurality of first transactions, the plurality of first transactions initiated with at least one account issued to a merchant; monitoring, while a plurality of second transactions are being processed in a payment network, receivable transaction data associated with the plurality of second transactions, the plurality of second transactions between the merchant and a plurality of users; determining, based on the payable transaction data and the receivable transaction data, a plurality of seasonal variables; and generating a cash flow forecast associated with the merchant, the cash flow forecast generated based on the plurality of seasonal variables. A system and computer program product for automated forecasting of cash flow are also disclosed.

Abstract: A refrigerator and/or freezer unit and system for storing, monitoring, and maintaining a supply of temperature sensitive pharmaceutical products in compliance with regulatory requirements. The unit contains compartments for each product type in multiple controlled temperature zones with sensors to track product status and content. In a system, each unit communicates with an application service provider to provide remote inventory management capability.

Abstract: A method for encouraging saving towards a financial goal for an individual includes receiving on an electronic computing device one or more personal media elements from the individual. A receipt from a purchase by the individual is received. The receipt includes information relating to the purchase made by the individual. Information from the receipt relative to the financial goal is analyzed. At least one of the one or more personal media elements is selected for presentation with the receipt. The at least one of the one or more personal media elements selected is related to an effect of the purchase on achieving the financial goal.

Abstract: A computing system for generating a list of possessions associated with a user may be provided. The computing system may include a processor in communication with a memory device, and the processor may be configured to receive image data, analyze the image data to identify at least one possession, update a user profile to include the identified at least one possession, determine additional information is needed to accurately estimate a value associated with the at least one possession, generate and transmit an additional information prompt to a user computing device, receive, from the user computing device, the additional information, estimate, using the additional information, the value associated with the at least one possession, and update the user profile to include the estimated value associated with the at least one possession stored in association with the at least one possession.

Abstract: The present technology relates to an information processing apparatus and method and an information processing system that make it possible to perform more appropriate information provision. Processing relating to settlement of a commercial transaction is performed and log information relating to the settlement is generated, and the generated log information relating to the settlement is supplied to a server, which performs processing relating to provision of the log information relating to the settlement, without the intervention of a commercial transaction processing unit that performs processing relating to the commercial transaction. Further, processing relating to settlement of a commercial transaction is performed by a given method corresponding to a settlement service selected from a plurality of settlement services that can be utilized for the settlement of the commercial transaction and log information relating to the settlement corresponding to the settlement service is generated.

Abstract: A transaction is identified for a partial rescan security check based at least in part on basket items of the transaction. A total number of rescan items from the basket items is identified for rescan; the total number of rescan items selected for rescan is less than a total number of the basket items in the transaction. Based on the basket items and transaction features for the transaction, item categories or item departments are identified from which the total number of rescan items are to be selected from the basket items for the rescan security check. The total number of rescan items and the item categories for selection are provided to an attendant terminal for the rescan security check. The rescan security check is processed to determine whether the transaction was associated with theft or not associated with theft.

Abstract: Smart meal preparation can be performed where a consumer order for a food item and a consumer request related to the food item are received. One or more recipes for the food item are received. The one or more recipes are analyzed to determine a conflict with the consumer request. The consumer request and the determined conflict are transmitted to a wearable device worn by a cook who will prepare the food item. Alerts related to the conflict are provided to the cook via the wearable device during preparation of the food item. Preparation of the food item is monitored for compliance with the consumer request.

Abstract: The disclosure generally describes methods, software, and systems for estimating cost allocations, including a method for the following steps. Using a machine learning system, transactions are consolidated into estimated sender-receiver totals for costs transmitted by senders to receivers in an organization. A sender-receiver percentage matrix is determined from the estimated sender-receiver totals of a given sender and for each receiver of the transactions from the given sender. The sender-receiver percentage matrix includes, for each sender, estimated sender-receiver percentages. Current actual costs are determined for each sender to receivers for a given time period. Estimated cost allocations are determined for given time period using the sender-receiver percentage matrix. The estimated cost allocations are determined for each receiver in the organization based on a function of the current actual costs for each sender.

Abstract: Techniques are described for managing data transfer between an enterprise system and a third-party provider system, through a batch interface of the third-party provider system. A batch of transaction data is uploaded through the batch interface for enrichment, and enrichment data is received in response. The enrichment data provides additional context regarding each of the transactions specified in the uploaded batch. The enrichment data can be sent back to the presented to user(s) through various tools. Prior to uploading, the batch can be filtered to include those records corresponding to users who have opted into a service. Filtering can also exclude records for which enrichment data has already been provided through a real-time process. Reconciliation can be performed to ensure integrity of the communicated data.

Abstract: The disclosure describes techniques to protect personal information stored on an electronic card with which an owner of the electronic card may be authorized to perform a transaction. For example, a point-of-sale (POS) device may receive protected data generated by an electronic card where the protected data may be used by a personal information server to identify the owner of the electronic card. The POS devices sends the protected data and transaction information to an authorization server that sends the protected data to a personal information server. The owner's personal information can be obtained or derived from the protected data by the personal information server and the personal information is sent to the authorization server. The authorization server can determine whether a transaction is authorized or unauthorized based on the transaction information obtained from the POS device and the personal information obtained from the personal information server.

Abstract: Techniques for configuring a point of sale (POS) system may include using an optical sensing module to read an identifier associated with a POS component and associating the POS component with a zone that is monitored by the optical sensing module, where the zone includes the POS system. In response to optically sensing the identifier, the system may automatically configure the component to function within the POS system.

Abstract: In some embodiments, there is provided a system. The system may include at least one data processor and at least one memory storing instructions which, when executed by the at least one data processor, cause the apparatus to at least: determine, for a received document including at least one item, that the received document likely includes at least one missing item, the determination based on at least a machine learning model and the at least one item; and provide an indication of the at least one missing item. Related systems and articles of manufacture are also provided.

Abstract: Systems and methods of constructing and managing virtual planograms are presented. Contemplated systems allow for construction of a virtual planogram, which can be used to present consumers virtual inventory items as being available for purchase via a display device. The display device can include an electronic billboard within an establishment, a mall for example, or include a user's smart device, a cell phone or tablet for example.

Abstract: Systems and methods for improving a computing system comparing past post-approved transaction records to past pre-approved transaction records are described herein. In an embodiment, a server stores a first plurality of digital electronic records identifying a plurality of past post-approved transactions by a first entity and a second plurality of digital electronic records for the first entity identifying a plurality of past pre-approved transactions by the first entity. The server uses a first machine learning system to determine that a subset of the first plurality of digital electronic records which identify a subset of the plurality of past post-approved transactions correspond to one or more pre-identified categories and a second machine learning system to match one or more particular digital electronic records of the subset of the first plurality of digital electronic records with one or more records of the second plurality of digital electronic records.

Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for tracking a product item in an automated-checkout store. One of the methods includes receiving, from a plurality of sensors, data collected by the sensors, identifying an account associated with a person who enters the store, receiving data on movement of the product item collected by one or more of the sensors, determining an interaction between the person and the product item based on the data collected by one or more of the sensors, storing information associating the product item with the person; and deducting a payment amount from the identified account, wherein the payment amount is based on a price of the product item associated with the person.

Abstract: Disclosed herein are system, method, and computer program product embodiments for providing an overall assessment of a combined inventory item and structure similarity to an initial inventory item and structure. A plurality of inventory items, stored in a database, maybe retrieved to generate a score value corresponding to each of the plurality of inventory items based on a plurality of facets describing the inventory item. Based on the generated score value, a subset of the plurality of inventory items may be determined based on data points representing the subset of the plurality of inventory items that are within a preconfigured Euclidean distance from a centroid representing a data point corresponding to the initial inventory item. One or more structures corresponding to the subset of the plurality of inventory items may be dynamically generated, and their combinations are scored for finding an alternate inventory item and structure.

Abstract: A vending machine interface includes a front panel, a product selection panel, and a piezoelectric element. The front panel bends in a normal direction when being pushed by a user. The product selection panel is disposed facing the front panel. A detection element is attached to the product selection panel and configured to detect bending of the front panel.