Robotic Process Automation of Inventory Demand with Intelligent Reservation

Abstract

The paper describes a solution that automates the inventory demand process for supporting facilities of a fixed service capacity, based on reservation with cost-effective overbooking strategy. This process, part of the back-office service management in the hospitality industry, is implemented in the robotic process automation (RPA) technology and integrated with front-office, customer interaction workflows in an operations management software (OMS) system. The main idea that led to this service model was the end-to-end (E2E) automation of the organisation, which is a new direction to merge AI techniques into one E2E platform with RPA capabilities at its basis: building, managing, and running software robots with process analytics tools to tackle a wider spectrum of business functions and knowledge intensive services with quick report of the business impact. Experimental results are reported for the RPA bot that establishes the overbooking strategy in the back-office.