This document defines how EcoMate integrates real-time market and supply chain data to optimize proposals and catalog intelligence.
Purpose: Replace static pricing with live supplier data.
bom_engine.py
and cost_model.py
to call vendor APIs for pricing, stock, and logistics.services/vendors/
with per-vendor connector modules and a VendorClient
interface (fetch_price
, fetch_stock
, fetch_logistics
).Value: Accurate, stock-aware proposals with precise logistics.
Purpose: Extend beyond internal sync to competitor monitoring.
sync.py
with competitor product monitoring via public APIs.market_intel/
with JSON reports.Value: Competitive pricing and benchmarking intelligence.
Purpose: Ensure resilience and cost optimization.
services/procurement/alt_sourcing.py
to query Alibaba/local sourcing APIs.Value: Resilient supply chain and margin optimization.
File Layout:
services/
vendors/
vendor_a.py
vendor_b.py
procurement/
alt_sourcing.py
catalog/
sync.py
proposal/
bom_engine.py
cost_model.py
Workflow Hooks:
Caching Strategy: Redis/local cache with TTL 15–30 min; nightly supplier refresh.
VendorClient
abstraction and first supplier connector.sync.py
with competitor monitoring.By implementing these integrations, EcoMate ensures proposals are market-aware, competitive, and resilient.