System and method for a building-integrated predictive service communications platform

A method managing building-integrated communications within a building comprising:

• receiving one or more data packets over a network from one or more mobile user devices, the one or more data packets including identification information for a user;
• authenticating the user based on the identification information, wherein the user is authenticated using a login token comprising a data structure storing key value fields for authentication, the key value fields including:
• a user identification (ID) field, a user permissions field, an expiration timestamp, and a hash of all of the key value fields;
• and
• after the user has been authenticated, monitoring actions of the user, wherein monitoring includes adding occurrence events and corresponding locations to a data base;
• and
• predicting a future action of the user based on the monitored actions, wherein the prediction predicts the actions that the user would perform at the specific location, wherein the prediction is performed using a neural network.

A non-transitory computer readable storage medium storing one or more programs configured for execution by a computer, the one or more programs comprising one or more instructions for:

• receiving one or more data packets over a network from one or more mobile user devices, the one or more data packets including identification information for a user;
• authenticating the user based on the identification information, wherein the user is authenticated using a login token comprising a data structure storing key value fields for authentication, the key value fields including:
• a user identification (ID) field, a user permissions field, an expiration timestamp, and a hash of all of the key value fields;
• and
• after the user has been authenticated, monitoring actions of the user, wherein monitoring includes adding occurrence events and corresponding locations to a data base;
• and
• predicting a future action of the user based on the monitored actions, wherein the prediction predicts the actions that the user would perform at the specific location, wherein the prediction is performed using a neural network.