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AI Research
arXiv CS.AI·1d ago·5 min read
GREAT-ESDD: Graph Edge Attention Network for Effectively Steered Delivery Decisions
TL;DR
GREAT-ESDD introduces a Graph Edge Attention Network to optimize delivery routing and pricing for home and out-of-home options, increasing profits by 11%. It dynamically adjusts routes based on customer preferences learned through Thompson sampling.
✦ Why It Matters
Implement dynamic pricing strategies today to optimize delivery costs and increase profits in your logistics operations.
Key Takeaways
- Utilize GREAT-ESDD for real-time delivery route optimization.
- Incorporate dynamic pricing based on customer delivery preferences.
- Leverage Thompson sampling to learn and adapt to customer behavior.
- Consider out-of-home delivery options to reduce costs.
How It Works
GREAT-ESDD employs a Graph Edge Attention Network to solve the capacitated vehicle routing problem (CVRP) by dynamically adjusting delivery routes based on real-time data. It processes multiple routing scenarios in parallel, allowing for quick recalculations as customer preferences for home or out-of-home delivery are identified.
The system uses Thompson sampling to estimate customer preferences, enabling it to steer customers towards more cost-effective delivery options.