Predictive Analytics for Sales Forecasting A Case Study on - Castrol

To analyze historical sales data of Castrol products to identify trends and patterns.

To develop predictive models using advanced analytics techniques for forecasting sales.

To evaluate the accuracy and effectiveness of the predictive models in forecasting future sales for Castrol.

To provide actionable insights and recommendations for improving sales forecasting and decision-making processes at Castrol.

Collect and prepare historical sales data of Castrol products for analysis.

Apply statistical and machine learning techniques to develop predictive models for sales forecasting.

Evaluate the performance of the predictive models using appropriate metrics.

Provide detailed analysis and interpretation of the results.

Make recommendations for improving sales forecasting and decision-making processes based on the findings.