01
Edge Ingestion
Module 1 & 3
Map subscriber density, device data consumption, and mobile foot-traffic onto H3 hex grids.
Use Case 15 · Telecom & Infrastructure
Hyper-Local Cell Tower Expansion & Foot-Traffic Router
Spatial network capacity allocation driven by local demographic and foot-traffic density
Customer need & pain point
The problem this replaces.
- Millions spent deploying 5G infrastructure in locations with low high-value subscriber density.
Step-by-step execution
How the engine executes it.
02
Mycelium Ingestion
Module 2
Ingest municipal building permission registries and competitive fiber maps.
03
Model Processing
Module 1 & 2
Predict lifetime ARPU yield for target micro-locations.
04
Model Processing
Module 2
Output optimal cell site coordinates directly to network engineering teams.
Quantifiable ROI & impact
What changes commercially.
- 27% higher return on infrastructure capital expenditure
- 40% faster planning phase
The “aha” moment
“We stopped building towers on intuition; Traffelo AI maps our 5G capex directly to high-ARPU subscriber clusters.”