01
Data Ingestion
Module 1 & 2
Ingests store POS receipts, local weather streams, and H3 geo-spatial foot-traffic patterns via Layer 1 Ingestion.
Use Case 05 · Retail & FMCG
Hyper-Local Catchment Inventory & Dynamic Markdown Routing
Autonomous micro-catchment inventory rebalancing and real-time pricing markdown execution
Customer need & pain point
The problem this replaces.
- High localized inventory write-offs due to sluggish store-level demand detection, while central BI reports lag by 5 to 7 days.
Step-by-step execution
How the engine executes it.
02
Anonymization
Module 1
Scrubs local customer IDs at edge nodes via Layer 2 Governance.
03
Multi-LLM Routing
Module 2 & 3
Routes spatial demand prediction to Claude 3.5 Sonnet for high-reasoning elasticity modeling.
04
Agentic Action
Module 4
MCP agents automatically push updated shelf-edge digital price tags and generate internal stock transfer orders via ERP.
Quantifiable ROI & impact
What changes commercially.
- 14.2% conversion lift
- 22% reduction in inventory write-offs within 30 days.
The “aha” moment
“We stopped guessing regional markdowns. Traffelo AI automatically priced down perishable stock in high-heat zones before it expired without human intervention.”