01
Ingestion
Module 1 & 2
Connects directly to store POS systems and ingests privacy-compliant foot-traffic and catchment mobility data.
Use Case 01 · Retail & FMCG
Modern Trade Micro-Catchment Intelligence
Legacy BI tells you what happened yesterday. Traffelo AI tells your systems what to execute right now.
Customer need & pain point
The problem this replaces.
- Retailers suffer 12–18% revenue leakage due to stockouts in high-demand micro-catchments and delayed response to localized foot-traffic shifts.
- Legacy BI tools only report what happened yesterday, not what to execute right now.
Step-by-step execution
How the engine executes it.
02
Signal Processing
Module 3
Analyzes local demand spikes, weather changes, and competitor pricing within a store radius.
03
Agentic Trigger
Module 4
The Autonomous Commercial Agent recalculates safety stock levels, triggers hyper-local push promotions to nearby app users, and re-routes inventory from slow-moving nearby outlets.
Quantifiable ROI & impact
What changes commercially.
- 14.2% Increase in store-level conversion rates within 30 days.
- 22% Reduction in perishable/seasonal inventory write-offs.
- <5 minutes Automated campaign deployment time (down from 4 days).
The “aha” moment
“Our legacy systems showed sales drops after the weekend. Traffelo AI detected micro-footfall shifts on Thursday morning and automatically pushed hyper-local offer triggers before foot traffic peaked on Friday. It shifted us from reactive reporting to proactive revenue capture.”