Supply Chain/Asia Node

Intelligent Supply Chain Forecasting

Strategic Mission

Eliminate inventory stockouts and reduce logistics overhead by 30% through predictive data intelligence.

The Challenge

Supply chains in Southeast Asia are notoriously complex due to varying infrastructure and fragmented data sources. A regional distributor struggled with overstocking in some zones while facing critical shortages in others.

The Engineering

An AI-driven forecasting engine that aggregates data from port authorities, weather stations, and internal ERP systems to predict demand and automate the replenishment cycle.

Technical Stack & Infrastructure

Time-series forecasting with XGBoost and Prophet

Real-time data ingestion via Kafka

Automated restocking triggers via ERP API

Custom dashboard for logistics managers

Verified Performance Delta

30% reduction in inventory holding costs

95% accuracy in 14-day demand forecasting

Automated 60% of procurement orders

Solution Inquiry

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Deployment Active

V1.4.2