SaaS platform for location intelligence, site selection, and competitor benchmarking using spatial datasets
Retail chains and real estate teams needed a powerful tool to perform location intelligence analysis and identify profitable sites using spatial datasets.
We developed MapIntel, a SaaS tool for site selection, catchment analysis, and competitor benchmarking that enables businesses to visualize demographic, sales, and infrastructure layers on interactive maps.
Identify optimal locations for new stores or facilities using comprehensive demographic and market data analysis.
Analyze customer catchment areas and market penetration to optimize store placement and coverage.
Compare performance against competitors in specific geographic areas and market segments.
Visualize complex spatial datasets including demographics, sales, and infrastructure layers.
Filter and analyze data by multiple criteria including location, demographics, and business metrics.
Generate comprehensive reports and export data for further analysis and decision-making.
Ingested and styled large geospatial datasets using GeoServer and XYZ tiles from Geolytix for comprehensive market intelligence.
Built a grid-based comparison tool for evaluating multiple candidate sites with side-by-side analysis capabilities.
Developed layer toggles, buffer analysis, drive-time analysis, and exportable reports for comprehensive location intelligence.
Used Mapbox GL JS for fast, interactive spatial UI that can handle large datasets efficiently with smooth user experience.
High-quality demographic and market data tiles for comprehensive location intelligence
Open-source mapping data for infrastructure and geographic reference information
Geospatial data server for efficient data ingestion, styling, and distribution
Mapbox GL JS
PostgreSQL
GeoServer
TailwindCSS
OpenStreetMap
Analytics