Abstract: Systems and methods are provided for identifying a mismatch between data maintained by third party apps that provide extended functionality to a software platform, and metrics generated in the software platform based on interactions with the third party apps. This can be used to trigger appropriate actions such as, for example, corrective actions to remedy the mismatch. As a result, data consistency between the software platform and the app may be monitored and maintained.

Abstract: Systems and methods are provided for identifying a mismatch between data maintained by third party apps that provide extended functionality to a software platform, and metrics generated in the software platform based on interactions with the third party apps. This can be used to trigger appropriate actions such as, for example, corrective actions to remedy the mismatch. As a result, data consistency between the software platform and the app may be monitored and maintained.

Abstract: Systems and methods for selectively providing post-transaction offers are described. During a transaction process for a first transaction associated with an online store, a request to provide a post-transaction offer is received. A first trust indicator associated with the online store is determined. The first trust indicator is based on historical customer response to the same or a different post-transaction offer. After determining that the first trust indicator satisfies a first trust threshold, the post-transaction offer is provided after completion of the first transaction.

Abstract: Methods and systems for reducing memory consumption due to abandoned data structures in an e-commerce platform. A shopping cart data structure contains at least one product item identifier and a user identifier. The platform determines a probability of completion associated with the shopping cart data structure based at least in part on the at least one product item identifier and the user identifier. If the probability of completion is lower than a threshold value, then the platform identifies a data change and applies the data change to the shopping cart data structure to produce a modified shopping cart data structure. A display on a user device is generated based on the modified shopping cart data structure. The data change selected to produce a modified shopping cart data structure that correlates to a higher probability of completion.