Abstract: A real-time process for establishing and reestablishing virtual reality (VR) sessions between automated agent and a customer with customer VR equipment without losing session context after a connection loss is disclosed. VR sessions are dynamically created/recreated using artificial intelligence/machine learning (AI/ML) for engaging virtual agents and customers. Real-time capturing and processing of the VR interaction is captured for session context and stored via blockchain ledgers for secure tracking. VR session connectivity is monitored in real-time. If any anomaly or interruption occurs, retry notifications are sent to establish a second session. Prior session context is used for the second VR session to allow the virtual agent and customer interaction to continue without loss of context.

Abstract: Embodiments of the invention are directed to systems, methods, and computer program products for intelligently identifying and correcting errors in resource transfer processes. The invention is generally comprised of a deployable layer of intelligent recommendation systems. The resulting service has ability to self-correct failed resource transfers. The invention is also dynamic, in that it can be integrated with other existing user interfaces. The intelligent recommendation systems are iteratively trained using feedback from real successes or failures in order to achieve a high degree of accuracy.