Inventory Management with Origin Tracing Using LSTM and Blockchain

Abstract

Vegetable waste can often be found in Sri Lanka. It can be either a waste of certain vegetables, or a shortage of them. Farmers will overproduce a certain vegetable without knowing the exact amount required for that period. As we can adjust market prices on the basis of demand and price predictions, accurate demand and price estimation for goods is an important part of supply chain management. This paper focuses on two main retail vegetable predictive areas. Each area is dealt with using a range of machine learning and deep learning models, and the assessment chooses the best solution. Checking the origins of vegetables using blockchain in the supply chain and the best selection of vendors is another important area that we explore in our project. To address this, we use the vegetables monitoring mechanism to increase transparency within the vegetables supply chain and to choose the best supplier we use the weighted sum ranking Process.