Diff: architecture/location-intelligence-archetypes
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| schema: foundry-doc-v1 | schema: foundry-doc-v1 |
| title: "Location Intelligence Archetypes" | title: "Location Intelligence Archetypes" |
| slug: location-intelligence-archetypes | slug: location-intelligence-archetypes |
| category: architecture | category: architecture |
| type: concept | type: concept |
| content_type: topic | content_type: topic |
| quality: stub | quality: stub |
| status: active | status: active |
| audience: vendor-public | audience: vendor-public |
| bcsc_class: public-disclosure-safe | bcsc_class: public-disclosure-safe |
| language_protocol: PROSE-TOPIC | language_protocol: PROSE-TOPIC |
| last_edited: 2026-06-20 | last_edited: 2026-06-20 |
| editor: pointsav-engineering | editor: pointsav-engineering |
| paired_with: location-intelligence-archetypes.es.md | paired_with: location-intelligence-archetypes.es.md |
| short_description: "The PRO, VWH, and PKS archetypes classify retail anchor compositions by functional role within a co-location cluster, providing the taxonomy that drives GIS analysis and map integration." | short_description: "The PRO, VWH, and PKS archetypes classify retail anchor compositions by functional role within a co-location cluster, providing the taxonomy that drives GIS analysis and map integration." |
| cites: [] | cites: [] |
| --- | --- |
| Location intelligence archetypes are the classification labels assigned to anchor tenants within a co-location cluster based on their functional role in the retail ecosystem. The three primary archetypes — PRO (Professional), VWH (Warehouse), and PKS (Park-style) — describe the dominant commercial draw pattern of each anchor and determine how the cluster is scored in the [[location-intelligence-strategy|location intelligence strategy]]. | Location intelligence archetypes are the classification labels assigned to anchor tenants within a co-location cluster based on their functional role in the retail ecosystem. The three primary archetypes — PRO (Professional), VWH (Warehouse), and PKS (Park-style) — describe the dominant commercial draw pattern of each anchor and determine how the cluster is scored in the [[location-intelligence-strategy|location intelligence strategy]]. |
| ## PRO — Professional | ## PRO — Professional |
| The PRO archetype identifies anchors whose primary draw is professional services rather than retail consumption: banks, clinics, government offices, and professional-services franchises. PRO anchors generate foot traffic peaks that correlate with business hours and tend to cluster in higher-density urban locations. | The PRO archetype identifies anchors whose primary draw is professional services rather than retail consumption: banks, clinics, government offices, and professional-services franchises. PRO anchors generate foot traffic peaks that correlate with business hours and tend to cluster in higher-density urban locations. |
| ## VWH — Warehouse | ## VWH — Warehouse |
| The VWH archetype identifies large-format anchors that operate on a warehouse-club or big-box model: hypermarkets, hardware chains, and wholesale clubs. VWH anchors generate the high-volume, recurring consumer traffic that forms the foundation of the co-location clustering model. | The VWH archetype identifies large-format anchors that operate on a warehouse-club or big-box model: hypermarkets, hardware chains, and wholesale clubs. VWH anchors generate the high-volume, recurring consumer traffic that forms the foundation of the co-location clustering model. |
| ## PKS — Park-style | ## PKS — Park-style |
| The PKS archetype identifies anchors within enclosed mall or commercial park configurations, where a single landlord controls the co-tenancy relationship among anchors. PKS clusters exhibit different lease and traffic patterns than open-pad co-location clusters. | The PKS archetype identifies anchors within enclosed mall or commercial park configurations, where a single landlord controls the co-tenancy relationship among anchors. PKS clusters exhibit different lease and traffic patterns than open-pad co-location clusters. |
| ## Taxonomy and pipeline | ## Taxonomy and pipeline |
| Each anchor in the source POI dataset is classified into one of these three archetypes during the nightly pipeline run. The resulting per-cluster archetype composition determines cluster tier (T1, T2, T3) and feeds the spatial tile layers served by the GIS surface. | Each anchor in the source POI dataset is classified into one of these three archetypes during the nightly pipeline run. The resulting per-cluster archetype composition determines cluster tier (T1, T2, T3) and feeds the spatial tile layers served by the GIS surface. |
| ## See also | ## See also |
| - [[location-intelligence-strategy|Location Intelligence Strategy]] — the strategic framework that uses the archetype taxonomy | - [[location-intelligence-strategy|Location Intelligence Strategy]] — the strategic framework that uses the archetype taxonomy |
| - [[ppn-small-business-compute|PPN Small-Business Compute]] — the compute layer that hosts the GIS analysis pipeline | - [[ppn-small-business-compute|PPN Small-Business Compute]] — the compute layer that hosts the GIS analysis pipeline |
| *Woodfine Capital Projects™, MCorp™, PointSav Digital Systems™, Totebox Orchestration™, Totebox Archive™, and Capability Geometry™ are trademarks of Woodfine Capital Projects Inc., used in Canada, the United States, Latin America, and Europe. All other trademarks are the property of their respective owners.* | *Woodfine Capital Projects™, MCorp™, PointSav Digital Systems™, Totebox Orchestration™, Totebox Archive™, and Capability Geometry™ are trademarks of Woodfine Capital Projects Inc., used in Canada, the United States, Latin America, and Europe. All other trademarks are the property of their respective owners.* |