To analyze the historical sales data of Adidas and identify trends and patterns that can help in predicting future sales.
To build predictive models using statistical techniques and machine learning algorithms to forecast sales for Adidas.
To evaluate the accuracy and effectiveness of the predictive models in sales forecasting for Adidas.
To provide recommendations for improving sales forecasting using predictive analytics for Adidas.
Collect and analyze historical sales data of Adidas.
Identify key variables that impact sales for Adidas.
Build predictive models using regression analysis and machine learning algorithms.
Evaluate the performance of the predictive models using appropriate metrics.
Provide a detailed report on the findings and recommendations for improving sales forecasting at Adidas.
