Skip to Main Content
The advancement of ubiquitous computing technologies, such as wireless networks and mobile devices, has greatly increased the availability of digital information and services in demand forecasting and changed how we access and use them. A kind of technology that extends digital resources to demand forecasting is the Internet of Things, which connects such resources with everyday objects with RFID. This way, real-world objects get digital identities and can then be integrated into a network and associated with digital information or services. These objects can facilitate access to digital resources and support interaction with them, decision makers who wish to make even better decisions based on deeper insight from process innovation as well as right-time analysis of real-time data can use information from tagged objects through mobile devices. In this paper, an algorithm for demand forecasting based on Internet of Things is proposed.