Global MedTech Manufacturer

ML-powered tooling for demand planners to optimally stock products from demand forecasts, supply chain constraints and product specifications. Various ordering strategies are simulated and the tool recommends an optimal plan to minimize costs while maintaining desired service levels

Challenge

• Current shipping are based on simple heuristics, resulting in low container filling rate and high air freight costs due to reactive behavior
• By minimizing expensive air shipments and reducing idle stock, strong cost savings can be realized

Solution

• AI-based planning module modelling real-world constraints and providing shipment recommendations to demand planners 
• The AI module behaves like a senior planner with systematic optimization, this can be a supply chain edge

Business Impact

• Reduction in global inventory: 600k USD
• Freight & duties savings: 500k USD
• AI-accelerated manual work: 200K USD