PROSPECT MAP 40,594German parking lots ≥5,000 m² mapped
Solar carport sales used to start with manual OSM research. PILLAR now runs on a weekly-refreshed map of large German parking lots — scored, filtered and export-ready.
FOR B2B TEAMSSELLING ON GEO DATA.
High-ticket field sales where the first bottleneck is finding the right locations — not writing outreach yet. You need a living map, not a one-off CSV dump Priority scoring beats scrolling OpenStreetMap by hand
SALES STARTSWITH A MAP.
Instead of analysts rebuilding parking lists by hand, the team opens a refreshed prospect map: 40,594 large lots and 6,456 high-priority rows, ready for field planning without inventing pipeline numbers we have not measured.
BIG PARKING LOTS.MANUAL DISCOVERY.
PILLAR sells solar carports into large German parking assets. Finding candidates meant stitching OpenStreetMap exports, area filters and gut feel — slow, inconsistent and impossible to refresh weekly at scale.
A WEEKLY PARKING ENGINE WITH SCORING.
An automation pipeline ingests German parking lots, applies area and carport signals, scores priority and publishes refreshed maps the sales team can filter — on a weekly cadence.
THE MAPIN NUMBERS.
HOW THE MAP COMPOUNDS.
OpenStreetMap parking polygons, cleaned and merged into one Germany-wide master map with weekly refreshes.
No — this case covers the research system and map metrics only. We do not publish pipeline € we have not audited.
A composite priority score of 80+ on top of the 5,000 m² filter — 6,456 rows in the 13 Jul 2026 snapshot.
Weekly. Sales always opens a dated snapshot, not a stale export.