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