The objective of this project is to design a data-driven decision support system for retail management. The system integrates descriptive, predictive, and visual analytics to support strategic decisions related to sales, inventory, and customer management.
Collect and integrate datasets related to sales, customers, and inventory.
Perform data cleaning and transformation across multiple data sources.
Conduct descriptive analytics to summarize business performance.
Apply predictive analytics models for sales and demand forecasting.
Design interactive dashboards for managerial insights.
Define and monitor key performance indicators.
Evaluate system usability and analytical accuracy.
Interpret analytical results to support decision-making.
Document system architecture, analytics pipeline, and findings.
Prepare a comprehensive final report suitable for academic evaluation.
