A system and method for detecting a pick-up of an item and determining analytics based on the detected pick-up. The method includes receiving data packets from a plurality of Internet of Things (IoT) tags, wherein each of the IoT tags is attached to a product, extracting a frequency word from each of the plurality of IoT tags, analyzing each of the extracted frequency words to detect a pick-up event associated with each IoT tag, and determining analytics related to an interest in the product based on the detected pick-up events.

A system and method for detecting a pick-up of an item and determining analytics based on the detected pick-up. The method includes receiving data packets from a plurality of Internet of Things (IoT) tags, wherein each of the IoT tags is attached to a product, extracting a frequency word from each of the plurality of IoT tags, analyzing each of the extracted frequency words to detect a pick-up event associated with each IoT tag, and determining analytics related to an interest in the product based on the detected pick-up events.

Methods and systems for regulating generation of units according to at least one encryption technique associated with a blockchain are disclosed. In some embodiments, a system includes a communication device configured to communicate with a computing device executing an application and a processor configured to execute instructions to perform operations. The operations include receiving transaction information describing a transaction; based on the transaction, determining product awards for at least one product awards program for the transaction; using the blockchain, determining a real-time conversion rate for the transaction, where the real-time conversion rate is regulated by the at least one encryption technique; based on the real-time conversion rate, converting the product awards to units; and entering into the blockchain encrypted data associated with the transaction, wherein the encrypted data is encrypted according to the at least one encryption technique.

Techniques for detecting and presenting rewards for presence are disclosed. Presence of a mobile device within a building is detected based on a plurality of triggers including a degradation of a first signal and a concurrent improvement of a second signal. The triggers are identified by a client-side application of the mobile device or a corresponding server-side processor with which the client-side application is in communication and from which the client-side application is configured to automatically receive available rewards. In response to detecting presence within the building, the server-side processor determines that a user of the mobile device is eligible for a reward, and the reward is provided to the user via the client-side application at the mobile device.

A computer based system and method for measuring effectiveness of a gamification challenge may include: presenting the gamification challenge on a display to an agent; measuring agent engagement with the gamification challenge over time to calculate agent engagement indices over time; measuring agent performance over time to calculate agent performance indices over time; and calculating a correlation between the agent engagement indices and the agent performance indices to obtain the gamification effectiveness.

A method may include receiving a first recommendation request context from a first communication channel; routing the first recommendation request context to a channel recommendation engine for the first communication channel; receiving a first recommendation from the channel recommendation engine for the first communication channel; providing the first recommendation and the first recommendation request context to a centralized recommendation engine that trains a machine learning engine; providing the first recommendation to the first communication channel that provides the first recommendation to the first customer; receiving a first result of the first recommendation from the first communication channel; receiving a second recommendation request context from the first communication channel; routing the second recommendation request context to the centralized recommendation engine; receiving a second recommendation from the centralized recommendation engine; and providing the second recommendation to the first communication channel that provides the second recommendation to the second customer.

A method may include receiving a first recommendation request context from a first communication channel; routing the first recommendation request context to a channel recommendation engine for the first communication channel; receiving a first recommendation from the channel recommendation engine for the first communication channel; providing the first recommendation and the first recommendation request context to a centralized recommendation engine that trains a machine learning engine; providing the first recommendation to the first communication channel that provides the first recommendation to the first customer; receiving a first result of the first recommendation from the first communication channel; receiving a second recommendation request context from the first communication channel; routing the second recommendation request context to the centralized recommendation engine; receiving a second recommendation from the centralized recommendation engine; and providing the second recommendation to the first communication channel that provides the second recommendation to the second customer.

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.

Systems and methods of the present disclosure allow associating rendered third-party content to respective conversions. A data processing system can provide a third-party content item for rendering on a first client computing device and store information indicative of such rendering. The data processing system can detect a realization action associated with a second client computing device and correlating the realization action with the rendering of the third-party content item based on the stored information indicative of the rendering. The data processing system can then update a realization action parameter associated with the third-party content item in response to correlating the realization action with the rendering of the third-party content item.

Systems and methods of the present disclosure allow associating rendered third-party content to respective conversions. A data processing system can provide a third-party content item for rendering on a first client computing device and store information indicative of such rendering. The data processing system can detect a realization action associated with a second client computing device and correlating the realization action with the rendering of the third-party content item based on the stored information indicative of the rendering. The data processing system can then update a realization action parameter associated with the third-party content item in response to correlating the realization action with the rendering of the third-party content item.