Abstract: A method may include executing a baseline classifier on unreviewed transaction features of an unreviewed transaction record to obtain a baseline account identifier, and executing a comparison model on (i) an unreviewed transaction vector of the unreviewed transaction record and (ii) reviewed transaction vectors to obtain comparison scores. The reviewed transaction vectors may correspond to reviewed transaction records each having a user-approved account identifier. The method may further include selecting, using the comparison scores, a reviewed transaction record. The reviewed transaction record may correspond to a comparison score. The comparison score may correspond to a user-approved account identifier of the reviewed transaction record.

Abstract: A computer-implemented method for providing a range of prices for a range of predicted performance wall-clock computing times for executing a desired software operation. A user uploads data of a desired software operation to a service provider. The service provider analyzes the data using a resource estimation model, determines resource options, and converts the resource options into a range of prices and corresponding predicted performance wall-clock times for execution of the desired software operation. The user selects a particular price and corresponding predicted performance wall-clock time and requests execution of the selected software operation using the resource option associated with the selected price and corresponding wall-clock time. An opportunity is provided to the user to optimize price based on either a need for more timely solutions or a need to minimize costs.

Abstract: Systems and methods for a color chip dispenser are provided and include a display area having a plurality of display windows and a plurality of types of light sources, with each display window being associated with a different type of light source. A controller is configured to (i) receive input from an input device indicating a particular color chip selected from a plurality of color chips, (ii) retrieve the particular color chip from the plurality of color chips using a robotic device, (iii) receive a light type selection from the input device indicating a particular type of light source from the plurality of types of light sources, and (iv) control the robotic device to display the particular color chip in a display window of the plurality of display windows associated with the particular type of light source.

Abstract: A system is provided for netting obligations between entities of a cycle of obligations. Each obligation specifying a quantity of an item that a from-entity of the cycle is obligated to provide to a to-entity of the cycle. For each entity, the system determines whether the sum of its inventory of the item and the quantity of the obligation on which it is a to-entity is sufficient to satisfy the obligation on which it is a from-entity. When sufficient, the system identifies one or more netting transactions to settle the obligations of the cycle. The system then directs the execution of the netting transactions and settlement transactions to effect and record the settling of the obligations.

Abstract: The present disclosure provides systems and methods that may advantageously apply machine learning to accurately manage and predict inventory variables with future uncertainty. In an aspect, the present disclosure provides a system that can receive an inventory dataset comprising a plurality of inventory variables that indicate at least historical (i) inventory levels, (ii) inventory holding costs, (iii) supplier orders, and/or (iv) lead times overtime. The plurality of inventory variables can be characterized by having one or more future uncertainty levels. The system can process the inventory dataset using a trained machine learning model to generate a prediction of the plurality inventory variables. The system can provide the processed in inventory dataset to an optimization algorithm. The optimization algorithm can be used to predict a target inventory level for optimizing an inventory holding cost. The optimization algorithm can comprise one or more constraint conditions.

Abstract: Systems and methods include onboarding services for retailer devices, guest user services for a user device, and operational services provided to the retailer devices and the guest user services for dispatching beverage orders. The onboarding services map retailer inventory of a retail establishment to a standardized product schema. Upon detecting that the user device is within a predetermined distance of the retailer device, the system generates and presents a user preference by performing a rationalized perato analysis on an order history associated with the user device. The order history and the preference are mapped to the standardized product schema. The user device receives a beverage order selection and, in response, the system generates a randomized order image to be presented at the user device and the retailer device. A transaction corresponding to the beverage order selection is executed at a point-of-sale (POS) system.

Abstract: A method of generating a fault determination in a building management system (BMS), the method including receiving signal data, generating, using a number of fault detection models, a number of fault indications based on the signal data, generating, using a weighting function, based on the number of fault indications, a fault score, comparing the fault score to a fault value, and determining, based on the comparison, an existence of a fault.

Abstract: A computer system for mapping products to taxability categories includes one or more processors configured to execute, in a run-time inference phase, an artificial intelligence model, a taxability category mapping engine, and a taxability category driver record association engine. The artificial intelligence model is configured to receive product text including a product name and product description associated with a product catalog, and output a predicted tax category for a product associated with the product catalog. The taxability category mapping engine is configured to link a taxability driver to the product. The taxability category driver record association engine is configured to create a taxability category mapping drivers record including the taxability driver that is linked to the product. The predicted tax category output from the artificial intelligence model and the taxability category mapping drivers record are stored in a product taxability record.

Abstract: Methods and systems directed to scanning, by an imaging device associated with a customer computing device, a Quick Response (QR) code displayed on a merchant computing device; decoding, by an application on the customer computing device, data embedded in the QR code; identifying, by the customer computing device and based on the decoded data, a uniform resource locator (URL) associated with a web page of the merchant, wherein the URL includes a payment proxy associated with the merchant; presenting the web page on the customer computing device; transmitting, by the customer computing device, an indication of interaction with the web page comprising an intent to purchase item(s) offered for sale via the web page; and receiving, by the customer computing device, an indication of completion of a payment for the item(s) facilitated by parsing the payment proxy server(s) of a payment processing system.

Abstract: Systems and methods for determining shrinkage of a commodity sold by a store are provided which may include: identifying data indicative of a volume of the commodity, associating a label with a container that holds the commodity, collecting the label information with a reader and transmitting collected label information to at least one server, automatically determining data characterizing the material in the container, associating the label information and the data characterizing the material in the container, and determining performance data related to the commodity by comparing the data indicative of the volume of the commodity supplied to the store, the data indicative of the volume of the commodity sold by the store, and the data characterizing the material in the container.

Abstract: Systems and methods for processing multiple point-of-sale (POS) transactions include receiving, at a first window of a user interface, a first input of payment information associated with a first item of a first POS transaction and presenting, at a second window of the user interface, a status of the first POS transaction. The POS system then may receive, at the first window and concurrently with presentation of the status at the second window, a second input associated with a second POS transaction, where the first window is associated with the second transaction and the second window is associated with the first transaction. The POS system may receive a notification of a confirmed payment of the second POS transaction prior to a resolution of the first POS transaction.

Abstract: An example method includes receiving an application, sending a prompt to an applicant to authorize access to financial information by an open banking system, and receiving the financial information associated with the applicant, the financial information including at least income information associated with the applicant. The method also includes determining an income score associated with the applicant based at least in part on the financial information, determining a threshold income score, and determining that the income score is equal to or greater than the threshold income score. The method further includes sending, to a reviewer, a recommendation to approve the application based at least in part on determining that the income score is equal to or greater than the threshold income score.

Abstract: Methods and systems for managing register content is described. A register content management module receives an identity of the retail location register, identifies a geographic location associated with the retail location register, identifies a time for which the updated register content is requested, generates a new register content, and sends the new register content to the retail location register independently from sending an application update to the retail location register.

Abstract: Implementations ingest records across multiple accounts hosted by different service providers and augment the records with metadata. For example, ingesting can include processing the records to identify transactions in the records and to discover additional aspects of the transactions. In some implementations, metadata can be used to augment the identified transactions in the records, where metadata can include a category, a digital receipt, a user tag such as a geotag, and other suitable metadata. The ingesting and augmenting the records can populate a coordination data structure with identified transactions and their associated data elements. These identified transactions can then be queried and a result set of transactions that span the different user accounts can be returned. In some implementations, the transactions can be queried using the augmented metadata, or other suitable pieces of information for the transactions.

Abstract: The present application discloses a scheduling method, apparatus, and system, an electronic device, and a storage medium. The method applies to a warehouse management server, and comprises: sending a scheduling instruction to an actual stereoscopic warehouse management server and a stereoscopic warehouse simulation model management server, wherein the scheduling instruction corresponds to a target scheduling policy; and responding to first optimization information and determining a first scheduling update instruction, wherein the first optimization information comprises a scheduling optimization operation for the case of a target scheduling policy scheduling fault, which enables the scheduling update of an actual scheduling task in the case of faults, thereby solving the problem that the existing scheduling simulation method cannot handle and alleviate the fault problem in the logistics task, and improving the work efficiency, work quality and reliability of the actual stereoscopic warehouse scheduling.

Abstract: The present disclosure provides a bill of material conversion method, an electronic apparatus and a non-transitory computer-readable storage medium. A bill of material conversion method, including steps S1 to S4: Step S1: obtaining an unprocessed first node in a first bill of material; Step S2: according to a preset correspondence, creating a second node corresponding to a second bill of material according to the obtained first node, and storing the created second node into a list; Step S3: determining whether the first node currently obtained is a last first node of the first bill of material; in response to the first node currently obtained not the last first node of the first bill of material, repeatedly performing steps S1 through S3; in response to the first node currently obtained being the last first node, performing step S4: converting respective second nodes in the list into the second bill of material.

Abstract: A plurality of baseline information associated with at least one user is retrieved. An issue with at least one office building asset included in the plurality of baseline information is dynamically identified. A down time of the at least one office building asset is reduced by reporting the dynamically identified issues associated with the at least one office building asset.

Abstract: A point-of-sale terminal is provided. The point-of-sale terminal includes a processor and a memory configured to store transaction data therein. The point-of-sale terminal further includes a network interface configured to connect to a computing network. The network interface is further configured to receive, from the network, a message comprising blockchain information. The point-of-sale terminal is configured to store the transaction data in a blockchain ledger.

Abstract: A social network for merchants is described. A payment processing service can receive first merchant information associated with characteristic(s) of a first merchant and second merchant information associated with characteristic(s) of a second merchant. The payment processing service can determine a similarity between the first merchant and the second merchant based on analyzing the first merchant information and the second merchant information with a data model. Based at least in part on the similarity, the payment processing service can associate the first merchant and the second merchant with a merchant group and enable the first merchant and the second merchant to access a service associated with a merchant social network based at least in part on the association with the merchant group.

Abstract: A refrigerating appliance includes a cabinet having an inner liner that defines at least one aperture for accessing a refrigerating compartment. A door is operably coupled to the cabinet and is operable between open and closed positions. A plurality of storage surfaces is positioned within the refrigerating compartment. Each storage surface is adapted to receive at least one temporarily stored item. A scanning apparatus is adapted to record data related to the storage surfaces and the at least one temporarily stored item. The scanning apparatus conducts first and second data capturing phases. The secondary data recorded during the second data capturing phase is compared against previous data recorded during the first data capturing phase to create a current inventory manifest. The current inventory manifest is compared with a set of predetermined parameters related to the at least one temporarily stored item to selectively provide an output.