Summary
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Global logistics giant C.H. Robinson is deepening its AI strategy by integrating engineering capabilities directly into planning systems, moving beyond traditional TMS optimization toward end-to-end decision automation. The initiative aims to embed AI-driven carrier selection, route optimization, and mode-switching decisions into live operations. C.H. Robinson’s scale managing millions of shipments annually positions it to train AI models on proprietary data that smaller competitors cannot replicate, amid intensifying competition from AI-native digital forwarders like Flexport and Fura.