With an offer server computer system: receiving a first digital image file; receiving a first mapping of product codes to audience segment identifiers; receiving a temporary price reduction 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.

A vehicle scheduling system includes a server that, responsive to receiving a charge request for a vehicle, generate output identifying a list of business entities within a predefined maximum distance of a target charging station that are ranked according to a match with a user profile associated with the vehicle and an incentive offer from at least one of the business entities. The server also, responsive to receiving input selecting one of the business entities, place a reservation with the one of the business entities according to an estimated time of arrival of the vehicle at the one of the business entities.

Systems and methods of reducing latency in online network traffic are provided. The system can include a processor and a memory couple to the processor. The memory stores computer-executable instructions, which when executed by the processor, cause the processor to identify an indication of an interaction with a content item presented within a content slot of an information resource, generate a click identifier that uniquely identifies the interaction, transmit a first request comprising a click resource link including the click identifier to a click server, and transmit a second request to access the landing page of the content item independent of transmitting the first request. The second request comprises a generated resource link that identifies a resource identifier of the landing page of the content item and the click identifier.

A computer-implemented method includes: training a machine learning model with training data to obtain a long-term value model, wherein the training data comprises a plurality of series of temporally-sequenced user bubbling events, wherein each of the user bubbling events corresponds to a historical transportation query from a user device and a historical response including a historical discount signal from a server, and wherein the long-term value model is configured to predict long-term values for respectively applying different discount signals to a given transportation plan of given bubbling features; obtaining a plurality of bubbling features of a transportation plan of a user, wherein the plurality of bubbling features; determining a discount signal based at least on feeding the plurality of bubbling features to the long-term value model; and transmitting the discount signal to a computing device of the user.

An incentive management system may receive a request for registration of a software application from a software developer and assign at least an API key and an API secret to the software application. The system may further provide, to the software developer, integration instructions including at least the API key and the API secret and provide a developer platform to the software developer, the developer platform configured to receive program information including at one or more actions that may be performed by a user of the software application. The system may monitor messages from one or more application servers, such as via webhooks embedded in the software application, regarding performance of one or more actions identified as actionable by the software developer. The system may periodically determine a cumulative incentive associated with each of the users of the software application and coordinate provision of the incentives.

This disclosure provides a loyalty program on a network-wide level. Embodiments may associate UPC and SKU data on a network level to reward consumers and/or to analyze the data for a variety of business purposes, such as market segmentation analyzes and/or analyzes relating to consumer spending behaviors or patterns, for example. In accordance with one embodiment, the network may comprise any number of participants, including consumers (such as primary and supplementary members of an aggregate consumer account), retailers (e.g. including any of their employees), manufacturers, third-party providers, and the like. In accordance with one embodiment, this disclosure enables participation by supplementary members who are associated with a primary member and, in this manner, facilitates the tracking of supplementary member purchasing behavior, reward points earning behavior, and reward points redemption behavior.

Features are disclosed for providing items from an item store to an item store consumer. An item store organizer can request an item store from an item redemption system based on item store parameters. The item store organizer can receive a single use token from the item redemption system to provide initial access to the item store. The item redemption system can validate the item store consumer based on the single use token. The item redemption system can further validate redemption requests from the item store consumer based on the item store parameters. The item redemption system can fulfill the redemption request based on payment information of the item store organizer and shipping information of the item store consumer. The item redemption system can transmit redemption information to the item store organizer based on fulfilling the redemption request.

A computerized system for transacting the purchase and sale of consumer motor fuels between motor fuel merchants and retail consumers through software on a mobile or desktop connected device for periods in the future through the simultaneous execution of multi-party, multi-layered contingent transactions and pricing algorithms to ensure that all inter-related motor fuel merchant transactions are simultaneously transacted upon a retail consumer purchase execution. Motor fuels include refined products such as gasoline and diesel fuel, renewable fuels (e.g. ethanol, biodiesel), natural gas (including liquefied natural gas), jet fuel and electricity.

A method for allocating virtual articles comprises: receiving at least two acquisition requests directed at a virtual article packet, and respectively recording receiving times of the acquisition requests, wherein the virtual article packet comprises one or more virtual article sub-packets; allocating acquisition sequence numbers respectively to the acquisition requests according to a sequential order of the receiving times of the acquisition requests; and allocating the virtual article sub-packets according to the acquisition sequence numbers for the acquisition requests corresponding to the acquisition sequence numbers, and sending virtual articles in the virtual article sub-packets to users corresponding to the acquisition requests.

A method, non-transitory computer readable medium, and a mobile computing device comprises obtaining one or more databases from one or more sources; identifying one or more items in the obtained one or more databases; determining a fee for the identified one or more items based on one or more fee setting parameters; and generating a work-order in real-time based on the determined fee.