Predictive Analytics for Sales Forecasting A Case Study on - Walmart

To analyze the use of predictive analytics in sales forecasting for retail companies.

To understand the importance of accurate sales forecasting for financial planning and decision-making.

To examine the effectiveness of predictive analytics in improving sales forecasting accuracy and increasing profitability.

To investigate how Walmart utilizes predictive analytics in sales forecasting and the impact on its financial performance.

Conduct a literature review on the use of predictive analytics in sales forecasting.

Collect and analyze data on Walmart's sales forecasting methods and financial performance.

Apply predictive analytics techniques to forecast sales for Walmart based on historical data.

Evaluate the accuracy of the sales forecasts and assess their impact on Walmart's financial performance.

Present findings and recommendations on the use of predictive analytics for sales forecasting in the retail industry.