Optimized Warehouse Management of Perishable Goods

In recent years, food wastage becomes the major problem of world and researchers indicate that 20-60% total production is lost in supply chain.[1] Due to perishable nature cost products fresh companies face more challenges throughout chains. An order proposal generated for all a time period week by integration Machine Learning loud also taking into chain with some barriers such as supplier delivery times maximum minimum number orders. The whole process prediction done using Random Forest Regression algorithm. This paper focuses particularly on goods analyzed based accuracy training testing data.