Systems and methods for fixing schedule of tasks using a remote optimization engine are provided. In one implementation, the system may periodically receive from a local server a data associated with a native scheduling engine. The system may process in a stateless manner the data periodically received from the local server using the optimization engine to update a prediction model. The system may also be configured to transmit information associated with the updated prediction model to the local server for enabling improvement of the native scheduling engine.

Systems, methods, and apparatus are described herein for determining a location from anonymous data. For example, a computing device may receive anonymous data associated with a browser session initialized by a user via a browser on a user computing device. The computing device may determine that the user has not been assigned a unique identifier. The computing device may determine whether the user opted-in to location tracking. If the user opted-out of location tracking, the computing device may determine a latitude coordinate and a longitude coordinate of the user computing device during the browser session. The computing device may identify a physical address for the user based on the latitude coordinate and the longitude coordinate, for example, using a map application programming interface (API). The computing device may assign the unique identifier to the user. The computing device may associate the unique identifier to the physical address.

Embodiments of the disclosure provide a system and method of allocating a resource based on myriad input data. In some embodiments, the myriad input data include membership information, claims data, transactional data, etc. The myriad input data are sorted and organized in a meaningful association relationship before applied to a resource allocation modeling algorithm. The resource allocation modeling algorithm provides estimated resource necessary for the application chosen. For example, an insurance company may use membership information, claims data, transactional data, etc., to estimate how much reserves or funds it should hold to cover future claims within a certain timeframe.

The present disclosure describes transaction-enabling systems and methods. A system can include a controller and a fleet of machines each having at least one of a compute task requirement, a networking task requirement, and an energy consumption task requirement. The controller may include a resource requirement circuit structured to determine an amount of a resource for each of the machines to service at least one of the task requirements, a resource market circuit to access a resource market, and a resource distribution circuit to execute an aggregated transaction of the resource on the resource market in response to the determined amount of the resource for each of the machines.

A method to solicit a user generated response to determine if a consumer made a purchase is provided. The method includes retrieving a transaction information when a consumer is in a point of sale at a retail store. The transaction information is indicative of a purchase of one or more items identified with a unique product code. The method also includes providing, to the consumer, a transaction card indicative of at least a portion of the transaction information; requesting, from the consumer, a validation of the purchase and providing the transaction information to a server when the purchase is validated by the consumer. The method also includes allowing the consumer to modify the transaction information upon request. A system and a non-transitory, computer-readable memory storing instructions to perform the above method are also provided.

The disclosed embodiments provide systems, methods, and techniques for managing merchandising cards. A merchandising card may be, for example, a gift card, loyalty card, or the like. Consistent disclosed embodiments, a system for managing merchandising cards may include one or more memory devices storing instructions and one or more processors configured to acquire, from a device over a network, a plurality of locations associated with the device, the device locations being acquired at different instances in time within a predetermined period of time. Additionally, the one or more processors may be configured to calculate an overall merchant confidence rating for a merchant using the device locations. Further, the one or more processors may be configured to, based on the overall merchant confidence rating, determine that the merchant matches a merchant that is associated with merchandising card, and send a reminder a user of the device.

Computer-implemented methods and computer systems are disclosed herein as implemented by one or more local or remote processors, transceivers, servers, and/or sensors. The methods and systems include the one or more processors (i) determining an electric vehicle has a state of charge (SOC) below a predetermined threshold; (ii) if the SOC is determined to be below the predetermined threshold, determining homes capable of charging electric vehicles within a vicinity of, or a predetermined distance of, the low SOC vehicle's GPS location; (iii) from among the homes within the predetermined distance of the low SOC vehicle, ranking the homes based upon various factors; and/or (iv) scheduling a rendezvous or appointment for the low SOC vehicle with the highest ranked home for recharging the low SOC vehicle, the highest ranked home being equipped to recharge the low SOC vehicle and is available to charge the low SOC vehicle.

Present disclosure generally relate to stock re-estimation, particularly relates to methods and systems for re-estimating stock and simulating demand, due to price drop in online/offline wholesale/retail products/appliances. System receives attribute data, business context data, price change data, historical sales data, store related data, inventory data, discount data, input plan data as input. System performs feature engineering on input data to extract data latent variables, calendar features, demographics data, derived variables, web extracted data. System performs operations such as price causal, sales forecast, Price Segment (PS) causal, and output data at DC level and determines delta change, multiplication factor, price segment distribution from output data at site level. System obtains input plan data and determined delta change, multiplication factor, price segment distribution from output data at site level to compute re-order plan and output what if analysis, multi-level forecasting, forecast for extended time, demand sensing, seasonality simulation, ABC classification, reorder plan.

Disclosed are a system and method for predicting a gig service in accordance with spatio-temporal characteristics, the system comprising: a data acquisition unit for acquiring gig service completion data and gig service request data generated in a preset time interval or a preset space interval; a prediction unit for generating prediction data associated with the number of gig service requests to be generated in a specific time interval or a specific space interval and the number of gig workers who will provide the gig service, by means of the gig service request data and/or the gig service completion data; a load ratio determination unit for determining a service load ratio of number of gig workers to number of gig service requests in the specific time interval or the specific space interval, by means of the generated request data; and a load ratio providing unit transmitting the service load ratio to an external terminal.

Transaction-enabling systems and methods are disclosed. A system may include a controller to interpret a resource utilization requirement for a task system and a plurality of external data sources. The system may further include an expert system to predict a forward market price for a resource in response to the resource utilization requirement and the plurality of external data sources. Then, in response to the predicted forward market price, the controller may execute a transaction on a resource market.