smarTangle is a Tangle network-based smart end-to-end Saas Food Warehouse Optimization system solution, with a primary focus on raw food materials. The project covers the management of all the stakeholders in a food chain right from the farmers with the produce, to the Warehouse, the subsidiary stores and finally the customers under one digital decentralised ledger umbrella. • It houses the tracking of the movement, quality and shelf life of the produce while also forecasting the regional requirement of raw materials based on daily demands and other seasonality factors in the subsequent stores for a period of up to 10 weeks using the FbProphet Time Series forecasting model. • This brings about a food currency system that keeps a footprint of all food transactions from when its produced to when it's finally in the hands of a customer. Hence, ensuring transparency in the system for both the warehouse and the customer - immensely reducing the panic buying and food wastage factors, something that is currently not in motion for raw food materials, unlike cold storage. This project helped me in developing a complete SaaS solution which consisted of developing a responsive Django-based Web Application for the Warehouse End and a Flutter-based mobile application for the customer end. A SQL based database was used for Web End while a NoSQL based database was used for the Mobile End. The Time-Series forecasting algorithm incorporates improved efforts from an ARIMA model to make use of the FBProphet based on the dataset. The transactions are recorded in a public Tangle (COMNET) network and is hosted in the GCP compute Engine.