Location intelligence platform
The PointSav Location Intelligence platform is a customer-owned flat-file GIS application for retail cluster analysis and strategic site selection — a nightly pipeline that scores and tiers commercial nodes, paired with a rendering layer that serves the result as an interactive map, with every dataset, algorithm, and rendering decision under the customer's direct control. The platform answers a fundamental commercial question — which geographic nodes possess the capital-validated density required to support adjacent development? — by transforming raw store locations into actionable commercial nodes through the Retail co-location tier methodology. All canonical datasets reside in a Totebox Archive as flat JSONL and GeoParquet files.
Operational capabilities
The platform transforms raw store locations into actionable commercial nodes by executing the Retail Co-location Tier Methodology. It answers a fundamental commercial question: which geographic nodes possess the capital-validated density required to support adjacent development?
Cluster identification
The pipeline groups nearby capital-intensive operators (Walmart, Costco, Home Depot, and similar anchors) and supporting civic infrastructure (hospitals, universities) into clusters using a spatial clustering algorithm, then scores each cluster and assigns it one of four tiers per the tier methodology.
Interactive map interface
The interactive map at gis.woodfinegroup.com renders tier conclusions rather than individual data points, per the platform's Conclusion-First design philosophy. Analytical layers — Clusters, Catchment, and OD Study — are presented as primary navigation toggles inside a drawer component, with the four-tier Regional/District/Local/Fringe color scheme surfacing the strongest nodes at a national zoom level before a user drills into individual sites. Trade-area catchment radii default to approximately 150 km for standard regional analysis, narrowing to roughly 27 km in dense urban corridors.
Data sovereignty
The platform's data model is deliberately flat-file rather than a running database daemon:
- Flat-file operation: All data persists as versioned JSONL and GeoParquet files within a Totebox Archive.
- Open standards rendering: Uses PMTiles and MapLibre GL JS to serve vector maps directly from standard web servers, eliminating proprietary tile-API dependencies.
- Reproducible build: The application surface can be re-provisioned by pointing a fresh instance at the immutable data layer and re-running the nightly pipeline.
Data foundations and licensing
The platform integrates open data sources for transparency and auditability:
- Retail data: Sourced from OpenStreetMap contributors and the Overture Maps Foundation.
- Civic infrastructure: Healthcare and institutional records from the Overture Maps Foundation Places dataset.
- Basemap: Vector tiles served via the platform's own infrastructure, not a third-party tile API.
Coverage already spans both North American and European markets — origin-destination mobility data for trade-area flow analysis is live today, not a future addition (the "OD Study" layer described above). Material assumptions for current platform performance include the continued availability of high-fidelity open geographic datasets. [osm-odbl] [overture-maps-cdla-2-0]
See also
- GIS orchestration application — the pipeline that produces co-location rankings
- Location intelligence substrate — the rendering layer that serves vector tiles to the map interface
- Retail co-location tier methodology — the tier methodology underlying cluster analysis
- Location intelligence UX design philosophy — the UX design philosophy for the interactive map surface
- Totebox archive — the flat-file archive that holds all canonical geospatial data