FOOD REQUIREMENT ANALYSIS IN AN AREA

Demand forecasting is the process in which historical data used to estimate quantity of product customer will purchase. This prediction activity many fields like retailing, food industry etc. In Restaurants, play a vital role as most basic ingredients have short-shelf life. The demands depend upon explicitand hidden context such season, region this paper, number order forecast stock items, using machine learning with internal and external data. we provide an appropriate algorithm for demand capable overpowering wastage short life items. Proposed Bayesian Linear Regression, LASSO, XG-Boost are that considerably improves performance. KEYWORDS: Random Forest.