Dynamic density heatmaps
Renders millions of client transaction coordinates into vector tile heatmaps with sub-second recalculation across all zoom levels.
Transform complex geographic distributions into clear operational intelligence. Dynamic density heatmaps, demographic clustering, territorial boundary optimization, and spatial risk scoring for banks, retail networks, and public institutions.
Combine proprietary operational records with national geospatial baselines to identify territorial opportunities and risks.
Renders millions of client transaction coordinates into vector tile heatmaps with sub-second recalculation across all zoom levels.
Algorithms evaluate travel times, population density, and regional workload to partition sales and logistics territories fairly.
Direct alignment with Indonesian census data, purchasing power parity indices, and regional administrative indicators.
Evaluates credit collateral locations against natural hazard flood zones, volcanic rings, and historical infrastructure disruption maps.
Simulate new branch or ATM site openings and estimate customer overlap against existing branch networks within 1 km to 15 km.
Export analytical results to GeoJSON, FlatGeobuf, GeoParquet, or connect directly to corporate BI systems.
Benchmarks measured on Indonesian cloud infrastructure cluster.
| Capability | Production throughput | Data formats | SLA |
|---|---|---|---|
| Heatmap tile generation | < 400 ms per 256x256 vector tile | MVT / Mapbox Vector Tile | 99.95% |
| Multi-polygon spatial clustering | Up to 2,000,000 points per batch | GeoParquet / Apache Arrow | 99.95% |
| Isochrone distance calculation | 350 ms for 15-minute drive radius | GeoJSON Polygon | 99.98% |
| Security & governance | Row-level security tenant isolation | Role-based access control | 100% |
Evaluates a regional postal sector against spatial density and flood risk indices.