Methods, computer-readable media, systems, and/or apparatuses for providing offer and insight generation functions are provided. For instance, user input may be received requesting generation of an offer. In response to receiving the request, an application may be transmitted to a device, such as a mobile device of a user. In some examples, the application may be executed by the device and may facilitate establishing a communication session with a third party system, identifying and extracting data from the third party system, and transmitting the extracted data to an entity for evaluation. In some examples, evaluation by the entity may include generating one or more insights, outputs and the like. In some arrangements, the evaluation may be performed using machine learning and, in some examples, may be performed in real-time or near real-time.

Generating an asset ontology. Obtaining current transaction information associated with a current transaction, the current transaction information being obtained in response to the current transaction being processed by a point of sale system. Updating a subscriber profile based on the current transaction information. Selecting one or more subscriber roles based on the updated subscriber profile. Identifying one or more assets based on the one or more subscriber roles and the asset ontology. Selecting one or more incentives based on the one or more assets. Providing the one or more incentives to a subscriber system, thereby causing the subscriber system to present the one or more incentives at substantially the same time as the current transaction is processed by the point of sale system.

An example method includes obtaining raw telematics data from a vehicle trip; comparing bounding boxes associated with respective intersections to the raw telematics data points from the vehicle trip in order to isolate points that are within bounding boxes associated with intersections and validating that the raw telematics data points within a bounding box associated with an intersection are associated with an actual traversal of the intersection by comparing a line created by combining the raw telematics data points within the bounding box to a spatial average line for other trips through the intersection. For each intersection, an a determining, for each intersection, an average acceleration of the portion of the vehicle trip through the intersection may be compared to the average acceleration of trips through the intersection by other vehicles in order to determine a measure of safety associated with the portion of the vehicle trip through the intersection.

A rewarding point accumulating method, comprising: receiving a customer id code and transaction information from a vendor device; verifying the received customer id code; updating rewarding point information of a customer according to the customer id code and the transaction information; updating rewarding point information of a vendor according to the transaction information, wherein the vendor is corresponding to the vendor device; and notifying the vendor device with regard to the updating of the rewarding point information of the vendor.

A system, method, device, and platform for managing content utilizing tokens from a data platform. Providing an incentive for a user to generate content. The content is received from the user. The content is tokenized into one or more tokens. The tokenized content is distributed. The tokenized content is monetized based on a smart contract.

A capturable code for automatically formatting and addressing a text message to apply for an offer is disclosed. The method interacting with, via a mobile device of a user, a capturable code and automatically generating a text message on the mobile device in response to the interaction. The automatic generation automatically provides an address for the text message, and automatically formats the text message. Providing, at the mobile device and into the text message, at least one device identifier (ID) for the mobile device and a user identifier (ID). Sending, via the mobile device, the text message to the address. Receiving, at the mobile device, a prepopulated form, which is prefilled with user specific information. Verifying, at the mobile device, the user specific information. Receiving, at the mobile device and upon a credit approval, a new credit account in a ready-to-use format.

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.

Interaction data sets of consumers of an offering set with an application associated with an offering set are obtained. At least some of the interactions are associated with respective content presentation operations. A neural network model is trained, using the interaction data sets, to generate predictions of actions of a consumer at whom a set of content presentation operations is directed, and to provide action-attribution scores for the content presentation operations. The model includes convolutional layers and an attention module. Weights learned in the attention module are used to estimate the action-attribution scores. A trained version of the model is stored.

The present disclosure is directed toward a system that allows a promotion and marketing system to provide promotions to users of the promotion and marketing system for establishments that are currently not affiliated with the promotion and marketing system.

The amount of user activity performed in relation to a promotion may be tracked based on user content captured via the client application. At least a portion of user content captured via the client application may be scanned and analyzed to identify user activity related to the user content. Augmented reality content items may be executable to generate content that is displayed in relation to the user content and that indicates an amount of user activity related to the promotion. In addition, the augmented reality content items may be executable to generate content in relation to the user content that indicates one or more redemption options for the promotion based on an amount of user activity performed by a user of the client application that captured the user content.