• Abhijeet Patre
• Rumit Jain
• Pranita Darveshi
• Rovina D’Britto
• Sanketi Raut

A sales prediction is an essential tool for managing a business of any size. With the help of prediction, the production of the particular product will be minimal or in required amount. It will be helpful for the seller to analyze the sales and give the proper or approximate order to the manufacturers for the production purpose. Prediction also helps the sellers to analyze which brand or product is liked by the customers and according to that the seller can pass the order of the production. This will help in proper utilization of the resources and simply avoid the wastage of economy, resources and time. E-commerce sales prediction predicts the sales of the particular product on the basis of past history and multiple factors such as trend, seasonal, state and festive using Multiple Linear Regression (MLR). We have also compared different algorithms like Random Forest, Naïve Bayes, SVR, KNN and Multiple Linear Regression and found out that MLR gives the accurate results.

E-commerce, sales prediction, machine learning, regression.

"E-Commerce Sales Prediction", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.7, Issue 4, page no.986-992, April-2020, Available :http://www.jetir.org/papers/JETIR2004135.pdf

"E-Commerce Sales Prediction", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.7, Issue 4, page no. pp986-992, April-2020, Available at : http://www.jetir.org/papers/JETIR2004135.pdf