Case studyAnonymised client
The result
~14 hrs
Saved per week
Client
Workplace transport operator
Challenge
Sales staff manually scanning maps for candidate sites, at real cost to expensive selling time.
Work
Purpose-built geospatial building-identification tool.
Capabilities
Replacing a manual map search with a purpose-built geospatial tool
Atom Digital built a workplace transport operator a geospatial tool that finds candidate client buildings automatically, replacing hours of manual map-scrolling with a filtered, radius-based search.
The outcome
The tool saves the sales team roughly 14 hours a week that was previously spent manually searching for candidate buildings.
What the tool does
- Draws on Microsoft’s Global ML Building Footprints dataset
- Overlays the footprints on map technology
- Takes a chosen population centre as the search origin
- Filters by radius from that centre
- Filters by minimum building footprint size
- Returns candidate buildings as a repeatable search
How it was done
The situation
The business runs employer-organised shuttle services and grows by identifying large workplace buildings — typically warehouses, distribution centres and similar sites — that are good candidates for a new client relationship.
Expensive selling time spent scrolling a map
Finding those buildings meant sales staff manually scrolling through Google Maps, looking for large buildings in rural areas, then trying to work out whether each one was actually a viable candidate. It was slow, inconsistent, and a poor use of expensive selling time.
Diagnosis and decisions
Atom Digital identified the manual search process itself as the constraint — not a lack of sales skill, but a lack of a systematic way to surface candidate buildings in the first place. The decision was to replace manual searching with a tool that could do it automatically.
A filtered, repeatable search
The tool uses Microsoft’s Global ML Building Footprints dataset, overlaid on map technology, to let users search for buildings above a given footprint size within a radius of a chosen population centre, turning a manual scan into a filtered, repeatable search.
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