To analyze the sales data of Country Delight and identify patterns and trends that can be used for sales forecasting.
To build and test predictive models using advanced analytical techniques to accurately forecast future sales.
To evaluate the performance of the predictive models and provide recommendations for enhancing sales forecasting accuracy.
Collect and clean sales data from Country Delight, including historical sales figures, customer demographics, and marketing activities.
Conduct exploratory data analysis to identify correlations and insights that can be used for predictive modeling.
Develop and train predictive models using regression analysis, time series forecasting, and machine learning algorithms.
Evaluate the accuracy and reliability of the predictive models through cross-validation and performance metrics such as RMSE and MAPE.
Document the entire process and present findings, insights, and recommendations in a comprehensive research report.
