FORECASTING FUTURE SALES THROUGH THE APPLICATION OF MACHINE LEARNIG ALGORITHEMS

Registration ID: IJNRD_192038

Published ID: IJNRD2305038

DOI: Click Here to Get

Hemant Ganapati Devadig , Janani G Hegde , Jayasurya , S.Jeenita

sales prediction, machine learning, XGBoost, Linear regression

This report discusses the use of machine learning to predict future sales for different products in various retailers. Currently, supermarket run-centers, Big Marts keep track of each individual item's sales data in order to anticipate potential consumer demand and update inventory management. Anomalies and general trends are often discovered by mining the data warehouse's data store. For retailers like Big Mart, the resulting data can be used to forecast future sales volume using various machine learning techniques like big mart. A predictive model was developed using XGBoost, Linear regression, Decision Tree, Random Forest, Ridge regression techniques for forecasting the sales of a business such as Big -Mart, and it was discovered that the model outperforms existing models.

Published Paper   E-Certificate

Hemant Ganapati Devadig, Janani G Hegde, Jayasurya, & S.Jeenita (May-2023). FORECASTING FUTURE SALES THROUGH THE APPLICATION OF MACHINE LEARNIG ALGORITHEMS. INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT, 8(5), a282-a288. https://ijnrd.org/papers/IJNRD2305038.pdf

Volume 8 Issue 5, May-2023

Pages : a282-a288

Paper Reg. ID: IJNRD_192038

Published Paper Id: IJNRD2305038

Downloads: 000121995

Research Area: Computer Engineering 

Country: Uttara kannada, Karnataka, India

Published Paper PDF: https://ijnrd.org/papers/IJNRD2305038.pdf

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