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service-business

service-business is the intelligence layer responsible for transforming raw retail data points into actionable commercial clusters. It implements a parent-child clustering pattern to handle complex physical retail environments where multiple distinct operators share a single commercial node.

The Clustering Logic

Retail data is inherently messy. A single commercial node often contains multiple distinct points — for example, a big-box anchor store, a nested pharmacy, and a fuel outlet in the same parking area. service-business processes these points so that the GIS engine produces a single, unified commercial entity per physical site.

Grid-Based Spatial Indexing

To perform this at scale, the service uses a grid-based spatial index (approximately 1 km cells). It iterates through the service-fs raw data lake and groups entities that share a physical footprint within a 100 m proximity threshold.

Parent-Child Schema

Parent node: The primary commercial driver — typically the highest-weight named anchor at the site.
Children (sub-entities): Secondary operators located within the same spatial node.

Cleansed Data Output

The output is a refined cleansed-clusters.jsonl file. This processed dataset is consumed by the downstream app-orchestration-gis to build the regional co-location index.

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