
To build a market potential analysis system that evaluates demographic, economic, and competitor data to determine optimal retail store locations. The project aims to support strategic expansion decisions using geospatial and data-driven market research techniques.
Collect demographic and regional economic datasets.
Gather competitor store location data.
Clean and structure geospatial information.
Perform area-wise demand and population density analysis.
Use clustering techniques to identify high-potential zones.
Analyze proximity to competitors and target customers.
Visualize location insights using map-based dashboards.
Compare rental cost and expected revenue projections.
Conduct SWOT analysis for selected locations.
Implement scoring model for location ranking.
Generate final recommendation for optimal store setup.
Document findings in a strategic market expansion report.