Abstract: An automated resource management system for a retail business includes a point-of-sale system and an access control system in communication with the point-of-sale system. The access control system can be configured to detect, and/or receive a signal from, an electronic device associated with a customer of the retail store, such as a cellular phone. Upon automatic detection of a billable event (e.g., retrieving an item from a vending machine) while the access control system determines that the user is within the retail store, automatic billing or invoicing of the customer by the point-of-sale system can occur.

Abstract: A resource management system for a service industry business includes a recommendation engine that initiates one or more service actions and/or device actions based on inputs from one or more sensors and/or an obtained customer location within a building or facility. The resource management system automatically distributes, assigns, schedules, and/or reserves one or more resources for the benefit of the detected customer based on one or more recommendations of the recommendation engine.

Abstract: A resource management system for a service industry business includes a recommendation engine that initiates one or more service actions and/or device actions based on inputs from one or more sensors and/or an obtained customer location within a building or facility. The resource management system automatically distributes, assigns, schedules, and/or reserves one or more resources for the benefit of the detected customer based on one or more recommendations of the recommendation engine.

Abstract: A resource management system for a service industry business includes a recommendation engine that initiates one or more service actions and/or device actions based on inputs from one or more sensors and/or an obtained customer location within a building or facility. The resource management system automatically distributes, assigns, schedules, and/or reserves one or more resources for the benefit of the detected customer based on one or more recommendations of the recommendation engine.