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: A processing apparatus according to the present invention includes a screen output unit that generates and outputs an inventory status screen on which an inventory status at each of a plurality of inventory checkpoints in a supply chain is displayed. On the inventory status screen, a plurality of objects respectively corresponding to the plurality of inventory checkpoints are displayed so that an appearance order of the inventory checkpoints in the supply chain can be identified. An image of a container having a size corresponding to an optimal inventory quantity or an optimal inventory value, and an image of a content having a size corresponding to a current inventory quantity or a current inventory value are displayed in the object.

Abstract: A computer-implemented method comprising: receiving, by a computing device, prescription information for an individual identifying a medication and a condition; identifying, by the computing device, job roles impacted by the condition; identifying, by the computing device, job roles impacted by side effects of the medication; determining, by the computing device, that a working capacity of the individual is diminished by the condition or the side effects of the medication based on job roles of the individual; generating, by the computing device, mitigation instructions in response to the determining; and executing, by the computing device, the mitigation instructions.

Abstract: Selectable payroll amounts for instant payroll deposits are described. A service provider can receive employee payroll information indicating an employee account at which an employee is to receive payroll payments from an employer. Additionally, the service provider can receive compensation information indicating compensation to be received by the employee for performing work for the employer. The service provider can leverage a data model to determine that the employee is eligible to receive at least a portion of the compensation via an instant deposit transfer. The service provider can determine, based on a reliability of the employee and/or a level of risk associated with the employer, an amount of the compensation to pay to the employee via the instant deposit transfer and can facilitate the instant deposit transfer of funds associated with the amount to pay the payroll payments to the employee account.

Abstract: Systems and methods are provided for providing targeted marketing to goods and services provides and consumer resource management services to consumers. An example system and method for targeted marketing comprises collecting transaction data from point-of-sale (POS) terminals and using a consumer identifier in the transaction data to access stored information about the consumer. This information may be used to target offers and advertisement to the consumer. In an example system for consumer resource management, a consumer may configure a consumer account on the enterprise infrastructure via a web-site. The consumer may use the consumer account to purchase and configure gift cards that may be used for purchasing goods and services. A universal transaction identifier may be associated with the consumer account and used to purchase goods and services from more than one selected goods and services providers.

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: Systems and methods are provided for AI-based inbound plan generation. Systems and methods include predicting, using a model, available storage associated with a first fulfillment center; predicting a demand capacity associated with the first fulfillment center; using the predicted available storage and the predicted demand capacity, calculating an excess demand quantity; determining one or more fungible capacity types associated with the excess demand quantity; determining available fungible capacity type quantities in at least one fulfillment center; using the one or more fungible capacity types associated with the excess demand quantity and the available fungible capacity type quantities in at least one fulfillment center, generate an inbound plan for the first fulfillment center; receive a notification of one or more incoming products; and distribute the one or more incoming products according to the generated inbound plan.

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: Methods and systems of applying retroactive adjustments to financial data. An example method includes: receiving one or more adjustment records associated with a financial account; saving a snapshot of the financial account, the snapshot comprising a plurality of transaction records reflecting previously processed transactions associated with the financial account; merging the adjustment records and the transaction records to produce a plurality of adjusted transaction records; processing adjusted transaction records to produce an updated state of the financial account; comparing the saved snapshot to the updated state of the financial account to produce one or more adjustment events; and processing the adjustment events using one or more event processing rules.

Abstract: A computer-implemented method for cloud-based management of payment devices includes connecting a point of interaction device (POI) to a terminal management engine (TME) through a computer network, downloading operating software for the POI and configuration files for the POI from the TME to the POI, initializing the POI using the operating software, and configuring the POI using the configuration files. An alternative computer-implemented includes connecting to a POI through a computer network, receiving a transaction request from a TMC through the computer network, confirming access to the POI, transmitting a request for consumer information to the POI, receiving requested consumer information from the POI, transmitting the requested consumer information to the TMC, receiving a transaction approval message or a transaction decline message from the TMC, and transmitting the transaction approval message or the transaction decline message to the POI.

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: A store profile generation method includes moving a mobile base around a product facility which includes an arrangement of product display units for displaying products. Product labels are associated with the display units. The product labels display product-related data for the displayed products. With an image capture assembly mounted on the mobile base, images are acquired of the product display units at a sequence of locations of the mobile base. With a computer processor, the product-related data is extracted from the acquired images and a store profile is constructed, based on the extracted product-related data, a spatial characterization of the image capture assembly, and information on the locations of the mobile base when the images were acquired, which indicates locations of the product labels throughout the product facility.

Abstract: A distributed transaction management computing system is configured for detecting transaction-specific data discrepancies that result from data calculations performed by different processing instances executing on geographically-distributed computing entities. The transaction-specific data discrepancies are identified via a network-accessible operations computing entity in electronic communication with a plurality of geographically-distributed edge computing entities. The operations computing entity defines at least two separate processing instances, wherein a first processing instance is configured to generate secondary data for individual transactions in the event that the edge computing entities do not themselves generate the transaction-specific secondary data; and wherein a second processing instance is configured to generate audit data for individual transactions.

Abstract: One embodiment provides a method comprising generating a first graphical user interface (GUI) for display on an electronic device. The first GUI comprises data indicative of at least one professional service available for selection. The method comprises receiving, from the electronic device, a request to initiate a professional service selected from the first GUI. The method further comprises generating a second GUI for display on the electronic device. The second GUI comprises a customized questionnaire for collecting information relevant to the professional service selected. The method further comprises receiving, from the electronic device, user responses to the customized questionnaire, and initiating an analysis of the user responses. A communication indicative of the analysis is forwarded to the electronic device.

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: A computer-implemented systems and methods for automatic and intelligent parcel retrieval are disclosed. The computer-implemented system comprises a database, a memory storing instructions, and at least one processor configured to receive an order number, to receive from a seller a waybill number associated with the order number and a carrier delivering a package, to generate a unique identifier that may include the order number and the way bill number, to detect a cancellation of the order number, to determine a tracking number in the unique identifier based on the cancellation of the order number, to send a notification to the carrier delivering the package based on the unique identifier, to receive from the carrier a reverse tracking number confirming the cancel shipment of the package, and to send a notification to the seller including the reverse tracking number.