Almost every business process has a spatial dimension: where customers are, where transactions happen, where products move, where assets are deployed, where risk concentrates. Traditional analytics treats location as a categorical attribute — a city name, a postal code. Geospatial analytics treats it as a continuous spatial variable, enabling analyses that reveal patterns invisible in tabular data.
Site selection for retail and logistics is the most economically direct geospatial analytics application. A retailer selecting the location for a new store can layer population density, competitor locations, traffic patterns, public transport accessibility, catchment demographics, and existing store performance data on a map to identify the highest-potential sites. The same spatial analysis that took a team weeks of manual data gathering and GIS software expertise in 2010 now runs in minutes on cloud-based geospatial analytics platforms.
Supply chain and logistics optimisation is a domain where spatial analysis delivers direct cost reduction. Route optimisation that minimises total distance or time for a fleet of delivery vehicles — accounting for road network, traffic patterns, time windows, and vehicle capacity — is a spatial problem. Dynamic rerouting based on real-time traffic and delivery status updates requires continuous spatial computation.
Credit risk assessment in Indian fintech has developed sophisticated geospatial models. Satellite imagery analysis of commercial activity — vehicle counts in parking lots, building construction rates, agricultural crop health — provides alternative data signals that supplement traditional credit bureau data, particularly for thin-file customers in semi-urban and rural markets.
The infrastructure for geospatial analytics has democratised significantly. Cloud-native geospatial capabilities in BigQuery (spatial functions, BigQuery GeoViz), PostGIS, and dedicated platforms like Carto and ESRI ArcGIS Online make sophisticated spatial analysis accessible without specialised GIS infrastructure. The availability of high-resolution satellite imagery from providers like Maxar and Planet Labs makes Earth observation data a practical business analytics input.