Predictive Analytics for Sales Forecasting: A Case Study on Maruti Suzuki

To explore the application of predictive analytics in sales forecasting for the automotive industry.

To analyze the financial data of Maruti Suzuki to understand the trends and patterns in sales.

To develop predictive models using statistical techniques to forecast sales for Maruti Suzuki.

Collect and analyze financial data of Maruti Suzuki to extract relevant information for sales forecasting.

Build predictive models using software tools such as R or Python to forecast sales numbers.

Evaluate the performance of the predictive models through statistical metrics and compare them with actual sales data from Maruti Suzuki.

Provide recommendations for improving the accuracy of sales forecasting using predictive analytics techniques.