Abstract: Disclosed are various aspects of a dual networked point-of-sale system and methods of data exchange upon network failure. In one aspect, a point-of-sale device is provided that is in communication with a wireless access point. Wherein upon failure of the wireless access point, the point-of-sale device attempts to connect through a mesh network to an additional point-of-sale device to attempt processing a financial transaction. In some aspects, the point-of-sale device heals itself from network failure by utilizing the node to node connection of a mesh network, in other aspects, the event environment becomes a swarm network wherein a plurality of point-of-sale devices interact and communication on both a traditional WLAN and a mesh network, providing network stability and redundancy.

Abstract: Aspects of a method for implementing a customer relationship management (CRM) and point of sale (POS) system on a node-to-node network for patron experience are disclosed including capturing transaction data or generating transaction data from one or more POS devices of a plurality of POS devices establishing a node-to-node network for processing payment on a commercial transaction are provided. Aspects of the method also include aggregating a data set associated with the commercial transaction. Moreover, aspects of the method also include reconciling the aggregated data set with a distributed ledger operating on the node-to-node network. Aspects of a CRM and POS system for patron experience are also provided, wherein the system comprises a remote payment device associated with information for making payment on a commercial transaction; and a plurality of POS devices establishing a node-to-node network for processing payment on the commercial transaction.

Abstract: Systems and methods for monitoring and adapting an edge network is provided. The system can include a plurality of user devices connected to a communications network and configured to capture input data and/or generate device data which can be transmitted to a data lake for storage and processing. A network monitoring station can leverage the data in the data lake to generate business intelligence to determine whether there is an issue within the system, for instance with respect to a user device or any other component of the network. Subsequently, an adaptive action can be triggered in response to a determination that an issue exists within the system.