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PointSav Documentation

The engineering library for the PointSav platform — operating systems and services for regulated businesses that own their data, their AI, and their record-keeping outright. Where the monorepo holds the code, this wiki holds the reasoning: architecture, services, security, and the governance commitments that bind future development.

PointSav Digital Systems

Location intelligence platform

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175ee315 · PointSav Digital Systems ·

content(gis): GIS/location-intelligence cluster consolidation (final of 5 flagged clusters) — merged the one genuine duplicate (pointsav-gis-engine.md into location-intelligence-substrate.md; its own body said its core logic lives in app-orchestration-gis). More significant: found and fixed a corpus-wide wikilink collision — 7 articles cited [[co-location-methodology]] as the retail-cluster tier-scoring methodology, but that slug resolves to a real, unrelated article about data-center FACILITY co-location siting. No article for the real retail methodology existed under any slug, and the one place a scoring mechanism WAS described in detail (app-orchestration-gis.md) described a Haversine formula the real SCORING-METHODOLOGY.md V3 confirms was replaced by a 4-tier gate system — with 2 more articles describing the mechanism differently again, none matching each other or reality. Created substrate/retail-co-location-tier-methodology.md as the single source of truth (facts from the verified real methodology doc) and repointed all 7 citing articles (14 files EN+ES) to it. Fixed architecture/_index.md's MOC description, which had also mischaracterized the real co-location-methodology.md article. All content-matrix clusters now resolved.

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@@ -11,7 +11,7 @@ status: active
audience: public
bcsc_class: public-disclosure-safe
language_protocol: PROSE-TOPIC
last_edited: 2026-05-08
last_edited: 2026-08-01
editor: pointsav-engineering
paired_with: location-intelligence-platform.es.md
cites:
@@ -21,11 +21,11 @@ cites:
 - osc-sn-51-721
---

The PointSav Location Intelligence platform is a customer-owned flat-file GIS application designed for retail cluster analysis and strategic site selection — composed of [[app-orchestration-gis]] (the analytics engine) and [[pointsav-gis-engine]] (the rendering layer), 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 [[co-location-methodology]]. All canonical datasets reside in a [[totebox-archive|Totebox Archive]] as flat JSONL and GeoParquet files, applying the [[worm-ledger-design|WORM ledger discipline]] to geospatial records.
The PointSav Location Intelligence platform is a customer-owned flat-file GIS application designed for retail cluster analysis and strategic site selection — composed of [[app-orchestration-gis]] (the analytics engine) and [[location-intelligence-substrate]] (the rendering layer), 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|Totebox Archive]] as flat JSONL and GeoParquet files, applying the [[worm-ledger-design|WORM ledger discipline]] to geospatial records.

## Operational Capabilities

The platform transforms raw store locations into actionable commercial nodes by executing the [Retail Co-location Methodology](co-location-methodology). It answers a fundamental commercial question: *which geographic nodes possess the capital-validated density required to support adjacent development?*
The platform transforms raw store locations into actionable commercial nodes by executing the [[retail-co-location-tier-methodology|Retail Co-location Tier Methodology]]. It answers a fundamental commercial question: *which geographic nodes possess the capital-validated density required to support adjacent development?*

### 1. Five-Degree Cluster Identification
The platform computes co-location clusters around Primary Target anchors (e.g., Walmart Supercentres) using a deterministic spatial algorithm. Each cluster is scored based on the convergence of independent, capital-intensive operators (Costco, Home Depot, etc.) and supporting civic infrastructure (hospitals, universities).
@@ -38,7 +38,7 @@ The interactive map at [gis.woodfinegroup.com](https://gis.woodfinegroup.com) us

## Sovereign Architecture

The platform adheres to the [[pointsav-gis-engine]] principles of [[customer-hostability|customer-rooted data sovereignty]]:
The platform adheres to [[location-intelligence-substrate|the substrate's]] principles of [[customer-hostability|customer-rooted data sovereignty]]:
- **Flat-File Operation:** All data persists as versioned JSONL and GeoParquet files within a [[totebox-archive|Totebox Archive]], rather than a running database daemon.
- **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:** If a gateway node is destroyed, the application surface can be re-provisioned instantly by pointing a fresh instance at the immutable data layer.
@@ -59,7 +59,7 @@ Planned enhancements to the platform surface include the integration of origin-d
## See also

- [[app-orchestration-gis]] — the stateless analytics engine that produces co-location rankings
- [[pointsav-gis-engine]] — the rendering layer that serves vector tiles to the map interface
- [[co-location-methodology]] — the scoring algorithm underlying cluster analysis
- [[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]] — the UX design philosophy for the interactive map surface
- [[totebox-archive]] — the flat-file archive that holds all canonical geospatial data
Important Information

Corporate structure. PointSav Digital Systems ("PointSav") is currently a trade name of Woodfine Capital Projects Inc. ("Woodfine"), planned to become a wholly-owned Woodfine subsidiary upon incorporation. PointSav does not itself offer, sell, or solicit any security. Any securities offering associated with Woodfine's real-property direct-hold solutions is made exclusively by Woodfine, and only by means of the applicable Private Placement Memorandum.

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