Integration will cure the bottleneck for AI in logistics
· Source: freightwaves.com
In short
The article discusses the challenges and opportunities of integrating AI into logistics, emphasizing the need for tailored data and custom modeling to achieve meaningful insights. Frank Kenney of Cleo highlights integration as the key bottleneck, stressing that AI's effectiveness depends on accurate, company-specific data and ecosystem-wide collaboration. The piece also explores the long-term vision of optimizing AI in logistics through incremental integration and prioritization.
Read Original Article — Read the full article on the publisher’s site.
In the issue of week 20, 2025: AI Powers $742B Supply Chain Surge with Transparency, Resilience, and Agility
Tags: integration, data, automation, supply-chain, AI-models, logistics