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.

Systems and methods for machine forward energy and energy credit purchase are disclosed. An example transaction-enabling system may include a machine having an energy requirement for a task and a controller. The controller may include a resource requirement circuit to determine an amount of an energy resource for the machine to service the energy requirement, a forward resource market circuit to access a forward resource market, and a resource distribution circuit to execute a transaction of on the forward resource market in response to the determined amount of the energy resource.

With an offer server computer system: receiving a first digital image file, a first mapping of product codes to audience segment identifiers, and a temporary price reduction (TPR) offer dataset; mapping a target identifier for an end user device of a consumer to an audience segment identifier; in response to determining, based on the audience segment identifier, that the TPR offer dataset has a product code and a retailer identifier that map to the audience segment identifier, and an effective date value that includes a current date value, and the retailer identifier corresponds to a retailer location within a specified distance of a then-current location of the end user computing device: creating and storing a digital offer dataset comprising both the first digital image file and a second digital image file that presents data elements of the TPR offer dataset; causing transmission of the dataset to the end user device.

Systems and methods are provided for receiving a request for services in a given location from a client device operated by a user and generating a set of features based on information included in the request for services in the given location. The systems and methods further provide for analyzing the set of features using a machine learning model to predict whether only services that can be instantly booked should be provided in response to the request for services in the given location, analyzing a prediction output by the machine learning model to determine that only services that can be instantly booked should be provided in response to the request for services in the given location, and generating a list with only services that can be instantly booked.

A method for acquiring visitor information is provided. The method includes the steps of: detecting one or more visitor objects from a video; estimating attribute information of a first visitor using feature data of a first visitor object; acquiring a perspective model of the first visitor on the basis of a travel route of the first visitor object; and acquiring interaction information of the first visitor using the perspective model of the first visitor.

Provided is a computer-implemented method, system, and product for providing real-time offers based on geolocation and merchant category. The method includes receiving data associated with a plurality of transactions conducted by a plurality of merchants, the plurality of merchants including a first merchant associated with at least one first merchant category, determining an area of interest based on an estimated travel time to the first merchant from the plurality of merchants, determining a subset of merchants of the plurality of merchants within the area of interest associated with the at least one first merchant category, determining real-time market activity data associated with the first merchant and each merchant of the subset of merchants, and identifying a trend of increasing and/or decreasing transactions for the first merchant and each merchant of the subset of merchants.

Technologies are described for determining route proposals for shipment of cargo using unique location identifiers (ULIs). For example, a pickup ULI and a delivery ULI can be received. The pickup ULI and the delivery ULI are in the ULI data structure format defined herein. A first geographic area representing a pickup leg can be determined for shipment of the cargo from the pickup ULI to a first transportation network location and a second geographic area representing a delivery leg can be determined for shipment of the cargo from a second transportation network location to the delivery ULI. The main leg of the shipment occurs between the first transportation network location and the second transportation network location and travels through one or more defined transportation networks. Route proposals can be generated for shipment of the cargo through the pickup leg, main leg, and/or delivery leg.

Examples are described that enable a sales notification application executing on the mobile device to provide an indication of a better price for a product. In the examples, product information may be obtained from product purchase receipts uploaded by mobile devices executing an instance of a sales notification application. Similarities may be determined between the product information received from each product purchase of the plurality of product purchases. The product information from each of the uploaded receipts may be aggregated based on the determined similarity between the product information. A selected product and a location at which the selected product has been purchased previously may be received for comparison to the aggregated information in a product purchase database. A comparison result may be output to the sales notification application. A payment card may be enabled to purchase the selected product.

A computer system including a processor in communication with a memory and a database may be provided. The processor may be programmed to: (i) execute a query on the database including a list of user identifiers associated with a plurality of users, (ii) receive license data associated with the user identifiers including a list of licenses and respective license renewal data associated with each user, (iii) determine, from the license data, that one or more licenses of a group of users is in a renewal period, (iv) notify each user of the group of users of the one or more licenses in the renewal period, (v) pre-populate a license renewal application for the one or more licenses in the renewal period the group of users, (vi) transmit the pre-populated application to be approved by the group of users, and (vii) receive the approved pre-populated application from the group of users.

Disclosed are embodiments for the aggregation and analysis of vehicle prices via a geo-specific model. Data may be collected at various geo-specific levels such as a ZIP-Code level to provide greater data resolution. Data sets taken into account may include demarcation point data sets and data sets based on vehicle transactions. A demarcation point data set may be based on consumer market factors that influence car-buying behavior. Vehicle transactions may be classified into data sets for other vehicles having similar characteristics to the vehicle. A geo-specific statistical pricing model may then be applied to the data sets based on similar characteristics to a particular vehicle to produce a price estimation for the vehicle.