Applications of Machine Learning in the Supply Chain

Key Notes

• AI is the new electricity
• ML is at hype cycle

Realtime AI

• Dynamic routing - dynamically learn best route
• Worker / Picker assessment
• Optimal pricing through real time market feedback
• Forecasting - Prophet

Dynamic Routing

• The traditional approach - Regression
• Online learning-based approach
• Exploration vs Exploitation trade-off
• Routing under uncertainty
• Minimize cost on average
• Optimization problem
• Dynamic routing
• Identify new routes based on the current status

AI, Machine Learning & Supply Chain // Manuel Davy, CEO of Vekia

Key Notes

• Global, Agile
• Collect information of Stores, Products, Location
• Demand forecasting - at different timescales

Using Graph + Machine Learning to Optimize Logistics in Supply Chain

Keep Thinking!!!