Automated Supply Chain Manager
How a mid-size manufacturer reduced operational overhead by 73% and achieved near-real-time inventory visibility across 14 distribution centers.
The Challenge of Modern Supply Chains
GlobalMade Inc., a consumer-goods manufacturer operating across Southeast Asia and Europe, faced mounting pressure from fragmented inventory systems, manual procurement cycles, and opaque supplier communication. With seasonal demand spikes causing 40% stockout rates and a growing backlog of expedited shipments, leadership invested in a fully automated supply chain platform.
Inventory Intelligence
Real-time stock visibility across all nodes with predictive reorder triggers powered by ML demand forecasting.
Supplier Automation
Automated RFQ generation, vendor scoring, and purchase-order dispatch — reducing procurement cycles from 9 days to 4 hours.
Live Tracking
IoT-integrated shipment tracking with exception alerts and dynamic route optimization tied to carrier APIs.
Demand Sensing
Hyper-local demand signals ingested from POS data, weather patterns, and economic indicators for 12-week rolling forecasts.
ERP Integration
Seamless two-way sync with SAP S/4HANA and Oracle Fusion — a smart orchestration layer, no rip-and-replace required.
Identifying Friction, Engineering Flow
- ✕Siloed ERP systems with no unified data layer across regions
- ✕Manual spreadsheet-based procurement causing 9-day lead times
- ✕40% stockout rate during seasonal demand peaks
- ✕Zero real-time visibility into in-transit inventory status
- ✕Supplier onboarding taking 3–6 weeks per vendor
- ✓Unified data mesh with event-driven microservices architecture
- ✓AI-driven PO generation reducing cycle time to under 4 hours
- ✓Predictive replenishment eliminating stockouts by 91%
- ✓IoT + carrier API integration for live shipment tracking
- ✓Self-serve supplier portal cutting onboarding to 48 hours
Six-Month Deployment Roadmap
Discovery & Data Audit — Weeks 1–3
Mapped existing data flows, catalogued all 14 distribution center ERP configurations, and identified 38 integration touchpoints requiring custom adapters.
Core Platform Build — Months 2–3
Deployed the data mesh backbone, event streaming layer (Kafka), and ML pipeline for demand forecasting using 5 years of historical order data.
ERP Integration & Supplier Portal — Month 4
Connected SAP S/4HANA and Oracle Fusion bidirectionally. Launched the supplier self-service portal with 64 vendors onboarded in the first week.
IoT Rollout & Pilot Testing — Month 5
Installed 1,200 warehouse IoT sensors. Ran parallel operations at 3 pilot DCs to validate accuracy and refine exception alerting thresholds.
Full Go-Live & Hypercare — Month 6
Global cutover across all 14 DCs. 30-day hypercare period with dedicated support. Zero P1 incidents recorded during go-live week.
Measurable Impact at Scale
Measured across 12 months post-deployment against the previous year’s baseline across all operational centers.
We went from firefighting stockouts every quarter to running supply chain operations that practically manage themselves. The automation layer didn’t just save us time — it gave us a strategic advantage we didn’t know was possible.
