Abstract: Arrangements for generating tangible stablecoin via an ATM are provided. In some examples, a computing platform may receive, via an ATM, a request to withdraw currency in the form of tangible stablecoin. The request may include an amount of currency that may be identified in fiat currency. The platform may determine an amount of stablecoin corresponding to the requested amount and may retrieve a generic stablecoin bill from a storage area. In some examples, the generic stablecoin bill might not include any denomination and may include a unique identifier that may be machine-readable. The platform may associate the determined denomination of stablecoin with the retrieved generic stablecoin bill, as well as the user requesting the stablecoin bill. The associated data may be stored in a distributed ledger. The stablecoin bill associated with the denomination and the user may be dispensed to the user via a dispensing slot in the ATM.

Abstract: Systems and methods for generating an electronic planogram optimized for space elasticity calculating a space elasticity include training a constrained linear regression model using a first training dataset, training a multiple non-linear regression model based on a second training dataset including, training a non-linear multiple-constraint mixed integer optimization model based at least in part on an output of the constrained linear regression model and an output of the multiple non-linear regression model, and generating an electronic planogram optimized for space elasticity. For each item category, a space elasticity is determined by fitting the constrained linear regression model, the multiple non-linear regression model is applied to determine a cross-space elasticity, and the non-linear multiple-constraint mixed integer optimization model generates a category space allocation. The category space allocation for each item category is aggregated to generate the electronic planogram.

Abstract: A detection system according to an aspect of the present disclosure includes: at least one memory configured to store instructions; and at least one processor configured to execute the instructions to: acquire a number of registered commodities for which commodity registration has been performed based on notification information given upon the commodity registration by a customer; acquire a number of to-be registered commodities for which the customer is to perform commodity registration; detect a discrepancy between the number of registered commodities and the number of to-be registered commodities; and output a detection result.

Abstract: A system and method are disclosed including a digital hub and a cloud database. The digital hub encodes, as a virtual supply chain network, the structure, one or more objectives, and one or more states of a supply chain network and contextualizes data received from one or more supply chain entities and one or more external data sources with the virtual supply chain network. The digital hub further employs machine learning to extract insights from the contextualized data and monitors external data sources for an event that may impact the one or more objectives of the supply chain network. Responsive to identifying an event that may impact the one or more objectives, the digital hub automatically adjusts one or more of robotic warehouse systems, robotic inventory systems, automated guided vehicles, mobile racking units, automated robotic production machinery, and robotic devices.

Abstract: An inventory management system for managing consumer products on a vehicle, in particular an aircraft, includes a portable product-identification device configured to identify a consumer product presented to the product-identification device, wherein the product-identification device is configured to communicatively connect to a wireless network of the vehicle to update a central inventory of the vehicle based on the identified consumer product, and a detachable holder having a clamping arm configured to releasably clamp the holder to a service device within the vehicle and having a mounting plate configured to releasably attach to the product-identification device to mount the product-identification device on the holder and thereby on the respective service device within the vehicle.

Abstract: Provided is an autonomous mobile vending robot for point-of-sale, last-mile delivery, card issuance and ticket issuance operations. The robot includes a secure storage compartment that is configurable for various applications. The secure storage compartment may be insulated and include a heating system or a refrigeration system for mobile vending and delivery of food or drink items. According to various embodiments, the robot may include sensors and a card reader configured to verify the identity and age of users to dispense restricted items (e.g., alcohol, tobacco, recreational drugs). For mobile card issuance operations, the storage compartment houses programmable credit/gift cards and card-writing components to activate and program the cards for dispensing to users. The storage compartment may house a secure printer and ticket paper for mobile issuance of lottery/raffle tickets.

Abstract: An apparatus for monitoring and replenishing an inventory of goods includes a shelving unit, a replenishment signaling area, a camera, and a processor. The shelving unit has storage shelves that hold storage bins, including a first bin that holds a first type of goods and has first optical code that identifies the first type of goods. The replenishment signaling area includes the uppermost shelf of the shelving unit, wherein the storage shelves are disposed below the uppermost shelf. The camera's field of view encompasses the replenishment signaling area, but not the storage shelves. The first bin is placed in the replenishment signaling area after its goods are depleted. The processor executes instructions to generate a replenishment notification based on detecting the first optical code within images generated by the camera. The replenishment notification indicates that the supply of the goods in the first bin needs to be replenished.

Abstract: In various examples, systems and methods for simulating quantum circuits using sparse state partitioning are provided. The quantum state of a quantum circuit may be partitioned into one or more state vector partition candidates that may form sparse state partitions that avoid memory operations for one or more state elements of the quantum circuit's state vector. Gate grouping, gate complexity, and/or qubit ordering optimization algorithms may be applied and the state vector partition candidate evaluated against a computing platform topology profile using a cost evaluation function. The cost evaluation function may estimate an efficiency associated with executing that state vector partition candidate given the processing resources of the currently available simulation platform for running the simulation. A state vector partition candidate optimized for the simulation platform may be passed to the simulation platform as a set of state vector partitions in order to simulate the quantum circuit.

Abstract: An apparatus and method for improving resource distribution by facilitating interconnected modules are disclosed. The apparatus includes at least a processor, and a memory containing instructions configuring the at least a processor to receive input data, preprocess the input data to extract at least an input feature of the input data using a feature extraction process, classify each data element of the input data into a plurality of interconnected modules as a function of the at least an input feature, generate, using the plurality of interconnected modules, output data as a function of the classified data element of the input data, generate a user interface including a digital representation of the output data, wherein generating the user interface includes executing a distribution datum as a function of the output data, and update an input data profile as a function of the execution of the distribution datum.

Abstract: At least one example describes mechanisms generating real-time AI-driven financial reports and responses from financial data of a business entity. In at least one example, the financial data including transaction details and account information from different sources is received. Based on the financial data, a financial report template is generated including performance indicators (PIs) that are dynamically generated by a first one or more machine-learning (ML) models. A second one or more ML models generates a mapping strategy automatically linking the PIs to relevant financial data. In at least one example, based on the template and the mapping strategy, a financial report is generated including estimated values of the PIs for specified time. The financial report is evaluated by a third one or more ML models that generates, via a graphical user interface (GUI), a response including a description of valuable insights, anomalies, and patterns in a natural language format.

Abstract: There is provided an information processing apparatus. A request unit requests a specific server among a plurality of servers to execute predetermined processing, the specific server being associated with specific locale information that is currently set. A storage unit stores server identification information that identifies the specific server associated with the specific locale information. An obtainment unit identifies the specific server based on the server identification information, and obtains predetermined information derived from the predetermined processing from the specific server that has been identified.

Abstract: An image-based livestock inventory management device includes a data transmission and reception module, a memory storing an image-based livestock inventory management program, and a processor configured to execute the image-based livestock inventory management program stored in the memory, wherein the image-based livestock inventory management program detects each livestock individual by inputting, to a livestock individual detection model, an image collected by at least one camera that captures a doorway of each livestock room which is set as one region of interest (ROI), tracks a movement state of each livestock individual by accumulating and storing center coordinates of detected each livestock individual, generates entry and exit state information of each livestock room by counting an entry action and an exit action of each livestock individual at the doorway of each livestock room for the ROI, and provides inventory information.

Abstract: According to one embodiment, an information processing device includes a memory and one or more processors coupled to the memory. The one or more processors are configured to: generate, by machine learning using time-series data of a variable for a phenomenon related to an abnormality in a system to be monitored, a prediction model for predicting an indicator used to identify the a timing of system maintenance and a physical model for predicting the variable; and perform either one of a first prediction process using the physical model that is learned using the indicator predicted by the prediction model and a second prediction process of correcting the indicator predicted by the prediction model by using the variable predicted by the physical model.

Abstract: A method includes receiving, via a point-of-sale system, a request for payment including a credit account information, a transaction payment amount, and a partial payment indicator, and querying an account database to retrieve an available credit. The method further includes determining that there is an insufficient credit amount to complete the request for payment based on the available credit amount and the transaction payment amount. The method additionally includes determining a partial payment authorization or a denial of the request for payment based on one or more partial payment authorization rules, the credit account information, the transaction payment amount, and the insufficient credit amount. The method also includes communicating, to the point-of-sale system, the partial payment authorization or the denial of the request for payment.

Abstract: Two or more simultaneous conditions occurring during two or more Self-Service transactions that require a response from an attendant of a management terminal are evaluated in real time. A suggested or an expected response of the attendant for each transaction is determined based on the evaluation. A priority for each expected response relative to the other expected responses is determined based on the evaluation. A queue of the expected responses in priority order is provided in real time to the management terminal for action on the expected responses in the priority order by the attendant.

Abstract: Methods are provided for optimizing retail inventory receiving and putaway processes within a retail store. The methods include segregating items from inbound inventory loads by unloading and identifying each of the items in the load. Based on the identity of an item, a computer directs the operator to segregate each item to a putwall, such as to a container on a mobile inventory cart. A pick to light (PTL) system is utilized to direct the operator's segregation processes. Each item is segregated into a family or sub-family grouping of inventory items that correspond to a particular department or sub-department of the retail floor of the store. Segregated family or sub-family groupings are distributed to respective departments to be putaway by an associate on the retail floor. The methods may be adapted to process e-commerce orders for shipment out of the store or for in-store customer pickup.

Abstract: Disclosed herein are system, method, and computer program product embodiments for multi-sensor perception for resource tracking and quantification. An embodiment operates by receiving resource information indicating a resource identifier, a resource location, and a resource amount. Based on sensor data received from a first sensing device and the resource identifier, a resource removed from the resource location and placed at a predefined location may be tracked. An amount of the resource placed at the predefined location may be determined based on depth information from sensor data received from a second sensing device. A notification that indicates that additional resources that match the resource should stop being removed from the resource location and placed at the predefined location may be generated based on a match between the resource amount and the amount of the resource placed at the predefined location.

Abstract: State of the art approaches being used for material replenishment planning have the disadvantage that they fall short in addressing the realities of evolving demand mixes and product utilization. The technologies leverage inflexible statistical models which are tightly coupled to specific industries, business processes, and deeper assumptions and therefore the model and any optimization produce results where the quality of results is heavily curtailed as real business processes deviate from the model assumptions and unforeseen scenarios arise the business and the broader ecosystem evolve. The method and system disclosed in the embodiments herein facilitate generating simulation of various material replenishment scenarios based on a user input. The method and system further generates one or more recommendations for material replenishment, based on an optimization process carried out.

Abstract: In a control method of a stocking apparatus, the stocking apparatus includes a plurality of housings formed separately and independently. Each of the plurality of housings includes a plurality of stockers, each of which stocks an item. The control method comprises: acquiring a demand number which is a number of at least one item being the item to be received by the stocking apparatus from a utilizer of the stocking apparatus or a number of at least one item being the item to be provided by the stocking apparatus to the utilizer of the stocking apparatus; and determining a receiving-and-providing stocker which is at least at least one of the plurality of stockers of the plurality of housings and receives the item from the utilizer or provides the item to the utilizer, based on the demand number.

Abstract: An apparatus for monitoring and replenishing an inventory of goods includes a first inventory area and a first movable structure having a first optical code associated with the first distinct inventory area. The first movable structure is placed in a replenishment signaling area after a supply of goods in the inventory area is depleted. Boundary optical codes are disposed near a boundary of the replenishment signaling area. A camera generates periodic images of the replenishment signaling area and the boundary optical codes. A computer processor detects the boundary optical codes in the images and determines a boundary line of the replenishment signaling area based thereon. The processor determines a spatial relationship between the first optical code and the boundary line in the images and generates a replenishment notification based on the spatial relationship. The replenishment notification indicates that the supply of the first type of goods needs to be replenished.