• Prajkta Khaire
• Shital Sanjeevkumar Dilpak
• Vaishnavi Bramhdev Patil
• Mansi Padwal

Nowadays malls and Big Marts track their sales data of every single item to predict future customer demand and also update inventory management. These data warehouses essentially contain a large amount of customer data and attributes of individual items in the data warehouse. In addition, anomalies and frequent patterns are detected by data mining from the data warehouse. The resulting data can be used to predict future sales volume using various machine learning techniques for retailers like Big Mart. In this paper, we propose a predictive model using the XG boost Regressor technique to predict the sales of a company like Big Mart, and we find that this model provides better performance compared to existing models.

Machine Learning , Predictive Analytic , Sales Prediction

"BIG MART SALES PREDICTION USING XG BOOST", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.11, Issue 6, page no.76-81, June-2024, Available :http://www.jetir.org/papers/JETIRGH06012.pdf

"BIG MART SALES PREDICTION USING XG BOOST", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.11, Issue 6, page no. pp76-81, June-2024, Available at : http://www.jetir.org/papers/JETIRGH06012.pdf