ENHANCING MART SALES FORECASTING USING MACHINE LEARNING TECHNIQUES

 The Enhancing Mart Sales Forecasting using Machine Learning Techniques project successfully predicts future sales by analyzing historical sales data and important product and store features. The Decision Tree Regression algorithm provided high prediction accuracy and helped identify factors affecting sales performance. The system improves business decision-making by supporting better inventory management, marketing strategies, and profit planning. The obtained results show that machine learning techniques can effectively enhance sales forecasting and help retail businesses like Big Mart achieve better growth and operational efficiency.

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