AI in Logistics: Optimising Networks and Routes to Market

AI Engine for Smarter, Resilient Logistics Networks

A major food and beverage manufacturer are looking for innovative AI solutions that can optimize logistics networks and improve Route-to-Market (RTM) efficiency. The focus is on autonomous, goal-driven AI system capable of analysing historical and real-time data, simulating scenarios, and recommending actions to reduce costs, improve service levels, and increase resilience.

Application Deadline
January 14th, 2026
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Summary

Background

As one of the world's largest beverage producers and distributors, we manage highly complex logistics operations across multiple regions. Facing continuous pressure from rising costs, dynamic market changes and frequent disruptions, we require dynamic reviews of our logistics operations and optimization opportunities. Traditional analytics are insufficient, demanding intensive manual data handling and laborious analysis. Therefore, AI is essential for autonomously evaluating millions of variables and driving continuous, dynamic optimization scenarios, thereby ensuring superior cost efficiency and operational resilience.

Challenge

They are seeking AI solutions that can:

  • Perform logistics network analysis and recommend optimal configurations
  • Propose direct and actionable optimization outcomes for the interdependent RTM items and metrics
  • Integrate with existing data source systems, be intuitive and user friendly
  • Provide explainable recommendations and scenarios with measurable cost, service, and sustainability impacts

What's in it for you?

Selected innovators will have the opportunity to:

  • Co-develop pilot projects in a real-world global logistics network.
  • Validate their solutions against complex FMCG logistics challenges.
  • Scale their solution regionally or globally within our supply chain.
  • Collaborate with logistics optimization and technology teams to refine and expand the solution.