A pricing engine may be provided for automatically setting pricing or repricing of goods simultaneously according to a set of rules and objectives. The pricing engine may utilize a database of internal data and external data. The pricing engine may use the data to segment the goods. The engine may further apply pricing rules to the segmented goods, reconcile any deviations using a control framework, and provide a comprehensive output.

A computer-implemented method that includes presenting an available interaction opportunity based on a geolocation of an interaction platform and receiving proposals from one or more users for the available interaction opportunity at the geolocation. The method includes determining a successful proposal from the proposals received by the one or more users and displaying a stored interaction associated with a profile of a user of the one or more users having the successful proposal at the geolocation and on the interaction platform.

Provided is a system, method, and computer program product for performing targeted advertising of a product. A processor may identify a consumer demography of potential consumers for an advertising campaign of a product. The processer may identify an inventory node map of the product. The processor may analyze the consumer demography and node map to identify a geographical collection of consumers for the advertising campaign according to an inventory availability relative to the consumer demography. The processor may determine relative expenses and a risk of inventory outages associated with order fulfillments of the product from the node map to form a fulfillment assessment map. The processor may update the geographical collection of consumers according to an optimizing profit and minimizing inventory outages criteria derived from adjusting the inventory availability and inventory location using the fulfillment assessment map. The processor may target adverting based on the updated geographical collection of consumers.

Aspects of the subject disclosure may include, for example, determining conversions associated with an advertising campaign, identifying consumers associated with the conversions. Further embodiments can include determining an attribution window for the advertising campaign, identifying first advertisements of the advertising campaign exposed to the consumers during the attribution window. Additional embodiments include identifying an advertising medium for each of the first advertisements resulting in a plurality of advertising mediums, and adjusting the advertising campaign according to the conversions and the plurality of advertising mediums resulting in an adjusted advertising campaign. Also, embodiments include delivering, over a communication network, second advertisements associated with the adjusted advertising campaign to communication devices associated with target households. A portion of the second advertisements is presented on each of the communication devices. Other embodiments are disclosed.

A method is provided that includes receiving, in a server, a request from a service provider, the request including a consumer identification code associated with a consumer, and obtaining a personalized list of universal product codes based on the consumer identification code and a purchase history log in a database. The method also includes providing the personalized list of universal product codes to the service provider, and receiving a tracking pixel indicative that the consumer has interacted with a consumer payload, wherein the consumer payload is associated with at least one product from the personalized list of universal product codes. A system and a non-transitory, computer-readable medium storing instructions which cause the system to perform the above method are also disclosed.

Disclosed are systems, methods, and non-transitory computer-readable media for differential bid generation using machine learning. A bid management system generates an input based on features of a content item and. The bid management system uses the input to determine acceptance probability score distributions for a set of candidate users. The bid management system uses the acceptance probability score distributions along with user attributes describing the set of candidate users along with campaign parameters to determine a subset of the candidate users to receive an offer to view the content item along with bid values to offer to each candidate user.

A system for geographic resource mapping is provided. The system comprises: a memory device with computer-readable program code stored thereon; a communication device connected to a network; a processing device, wherein the processing device is configured to execute the computer-readable program code to: receive a geographic location for a proposed resource site from a user; extract historical interaction information associated with the geographic location and the user from an interaction database; generate a resource map for the geographic location based on the historical interaction information and the proposed resource site; calculate a landscape score for the proposed resource site at the geographic location, wherein the landscape score compares the proposed resource site with other resource sites associated with the geographic location based on the generated resource map; and based on the landscape score falling below a predetermined threshold, reject the proposed resource site at the geographic location.

A system for matching a consumer of a service with a provider of the service includes a service consumer program host computer communicatively coupled to a consumer/provider matching computer through a first network. The system also includes a service provider host computer communicatively coupled to the consumer/provider matching computer through a second network. The system further includes a consumer computer communicatively coupled to the consumer/provider matching computer through a third network. Moreover, the system includes a provider computer communicatively coupled to the consumer/provider matching computer through a fourth network. The consumer/provider matching computer generates a ranked list of providers by analyzing consumer data.

A communication system and method are provided for prioritizing the collection of evidence leads. Geographic mass messaging notifications are sent out alerting to an incident in conjunction with a request for incident information. Responding devices are prioritized based on device parameter information. The prioritization enables transient devices to be provided with a higher priority than non-transient devices. The assigned priority facilitates investigative follow-up of a plurality of evidence leads prior to the review of actual data content of each lead.

A skilled service marketplace scheduling system and method is provided. The system can include a skilled service marketplace coordination system, one or more skilled service marketplace requester devices, and one or more skilled service marketplace provider devices. The coordination system may determine a schedule given a skilled service marketplace request and a skilled service marketplace provider schedule. The coordination system may assign a given request to a skilled service provider based on the skill level of the skilled service provider. The coordination system can account for travel time between the requester and the skilled service provider. The system may interact with third party systems, such as a parts inventory, to create the skilled service marketplace schedule. The system can confirm adequate performance of the skilled service.