SIG (Semen Indonesia)
AI shipment-priority and demand projection in supply chain
SIG's supply-chain AI lifted cement order fulfilment by 1.16%, about 118,000 tons
Problem
SIG, Indonesia's state cement group, had to keep building materials flowing to customers across the market. Consolidating supply-chain data took days.
Approach
SIG used AI in supply-chain management for distribution planning, stock monitoring and delivery. The AI recommends which shipments to prioritise based on stock in customers' warehouses. It also projects demand from customers' past transactions.
Results
Takeaway
SIG linked the gain to stock data from customers' warehouses. The article did not name the system or say when it started.
Categories
- Size
- Large enterprise
- Industry
- Construction and engineering
- Business function
- Logistics and supply chain
- Innovation type
- Process innovation
- AI technology
- Predictive analytics and MLOptimization
- Adoption
- Built in-house
- Evidence
- Company's own claim
Sources
Source summaries
The article reports SIG's use of AI in supply-chain management to recommend shipment priorities and project demand. It gives a 1.16% rise in order fulfilment (118,000 tons) for November 2024 to February 2025 and data consolidation cut from days to 2 hours.
Full details are in the original sources.