PREDICTIVE ANALYSIS FOR BIG MART SALES USING MACHINE LEARNING ALGORITHMS

Abstract

Huge Marts and other grocery store chains now track sales data for every individual item in an effort to foresee future customer demand and improve supply management. The data warehouse's data shop is a great place to find patterns and outliers. Retailers like Huge Mart may utilise the collected data to project future sales volumes using a variety of equipment-learning techniques. Xgboost, Linear regression, Polynomial regression, and Ridge regression were used to create a predictive version that outperformed previous designs in predicting sales for a company like Large-Mart.