Published Jan 15, 2025

Optimizing Supply Chains with GNN

Thibaut Vidal from Polytechnique Montreal delves into how Graph Neural Networks can transform supply chain operations by optimizing delivery costs and district designs, offering scalable and adaptable solutions that surpass traditional methods.

Episode Highlights

Topics covered

Questions from this episode

- How can companies leverage data?
  Asked by 28 people
- How can data be used advantageously?
  Asked by 7 people
- How is machine learning evolving as discussed in the episode Pedro Domingos —The Knowledge Project #13 and the clip Modeling in Different Fields?
  Asked by 5 people
- How is machine learning evolving as discussed in the episode Adrien Treuille — Building Blazingly Fast Tools That People Love and the clip Measuring the World?
  Asked by 4 people
- What is the future of supply chain management?
  Asked by 3 people
- How can data drive business decisions as discussed in the episode Daniel Pink Interview | The Tim Ferriss Show (Podcast) and the clip Focus on Importance?
  Asked by 3 people
- How can data drive business decisions?
  Asked by 3 people
- What is the role of data in decision-making?
  Asked by 2 people
- What is the future of supply chain?
  Asked by 1 person

Episode Highlights

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Optimizing Supply Chains with GNN

Topics covered

Popular Clips

Questions from this episode

Episode Highlights

Graph Neural Networks

Supply Chain StrategiesThibaut Vidal discusses the complexities of optimizing supply chains through advanced algorithms and machine learning. His insights reveal how graph-based approaches can revolutionize districting and routing, leading to cost reductions and improved operational efficiency.

Supply Chain Strategies

Generalization and Scalability

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