PREDICTIVE ANALYSIS FOR BIG MART SALES USING LINEAR AND XGBOOST ALGORITHMS

Currently, supermarkets, Big Marts tracks sales data for each item to anticipate potential consumer demand and review asset management. Confusion and common trends are often found by digging into a warehouse data store. For vendors like Big Mart, the resulting data can be used to predict future sales volume using various machine learning strategies such as the big mart. The forecasting model was developed using Xgboost and Linear retrieval techniques to predict business sales such as Big -Mart, and it was found that the model was superior to existing models.