Geospatial Location Planning Tool
Multi-Industry Site Selection
“Delivered a flexible decision-support tool that helped clients compare potential locations, identify underserved areas, and make more informed expansion decisions across banking and healthcare use cases.”
- 01
The problem
Clients across industries needed data-driven support for network expansion and site selection decisions, including ATM placement for a banking client and new branch planning for a diagnostic and preventive care laboratory chain.
- 02
What Karthik shaped
Karthik adapted a geospatial optimization approach originally developed for supply chain analysis into a reusable location planning tool. He built analytical logic using Python, Google Maps API, and Power BI to evaluate local monopoly presence, competitor co-location, underserved markets, catchment potential, and population density.
- 03
Decision/tool delivered
Delivered a flexible decision-support tool that helped clients compare potential locations, identify underserved areas, and make more informed expansion decisions across banking and healthcare use cases.
Business impact
- Enabled data-driven site selection decisions
- Supported ATM location planning for banking
- Supported branch expansion planning for healthcare diagnostics
- Identified underserved market opportunities
- Created a reusable geospatial analytics framework