Sales Prediction System using Machine Learning

Authors: S.G. Chordiya, Shubham Aher, Gayatri Ahire, Sumeet Kute, Harshada Mandale

Country: India

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Abstract: In recent years, with the continuous popularity of the Internet, the number of online shopping users in my country has reached 639 million, which contains huge commercial value. In order to maintain the prosperity, diversity and order of merchants, and fully meet consumers' one-stop shopping needs, it is necessary to analyze and predict user purchase behaviors more accurately. The traditional approach of sales and marketing goals no longer help the companies, to cope up with the pace of competitive market, as they are carried out with no insights to customers’ purchasing patterns. Major transformations can be seen in the domain of sales and marketing as a result of Machine Learning advancements. Owing to such advancements, various critical aspects such as consumers’ purchase patterns, target audience, and predicting sales for the recent years to come can be easily determined, thus helping the sales team in formulating plans for a boost in their business.

Keywords: Support Vector Machine (SVM), K-Neighbors Regressor, XGBoost Regressor, LightGBM

Paper Id: 230106

Published On: 2023-05-06

Published In: Volume 11, Issue 3, May-June 2023

Cite This: Sales Prediction System using Machine Learning - S.G. Chordiya, Shubham Aher, Gayatri Ahire, Sumeet Kute, Harshada Mandale - IJIRMPS Volume 11, Issue 3, May-June 2023.

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