IoT Based Indoor Navigation and Automated Stock Management in Smart Marts

In this present world, with everything being automated individuals choose smart devices and digital data for daily use. Due to the size and complexity of large indoor spaces like huge supermarkets, people need guidance to find way to their destination. In this research, we have created an android mobile application based on QR (Quick Response) code scanner technology to help individuals to navigate in indoor spaces. Our objective is to minimize shopping time and traditional ask and find method by providing indoor navigation system for people who are unfamiliar with the area. We have utilized IoT (Internet of Things) technology in the automated stock management system because of its usage in real time applications in management, reliability and security in data usage. Using load cell sensor, the weight of the product will be measured and updated dynamically in the app. So, the customer and manager will be able to know the quantity of each product along with the navigation.