"Easy4Pro": { "prefix": "TMS", "body": ["transport platform", "redspher group", "easyforpro", "easy4pro", "faurecia transport", "pc&l faurecia", ], "description": "Easy4Pro" } "Easy4Pro": { "prefix": "TMS", "body": [ "transport platform", "easyforpro", "easypro", "faurecia transport", "pc&l faurecia", "transport platform" ], "description": "Easy4Pro" }
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Optimizing Freight Solutions: A New Perspective on Logistics Management

The logistics industry is undergoing a transformation, driven by hybrid freight models, AI-powered forecasting, and data-driven procurement strategies. Companies are moving beyond traditional freight methods to more adaptive and resilient supply chains that balance efficiency, cost-effectiveness, and flexibility.



Comparison of three freight management approaches—Traditional, Just-in-Time, and Dynamic Base Just-in-Time—showing pallet volume variations per week for a given lane. The graphs highlight inefficiencies in traditional freight (empty km and high spot purchases), improved efficiency in Just-in-Time with higher spot reliance, and the optimized balance in Dynamic Base Just-in-Time, which blends regular capacity and preferred carrier spot rates. A legend explains the colors representing spot market transport, hidden inefficiencies, regular bought capacity, and preferred carrier rate cards. The accompanying text emphasizes the role of technology in optimizing freight operations and mitigating risks.


In this latest article published by Business Insider, the discussion dives into:


✅ Why hybrid models are the future of freight logistics;

✅ How AI-driven insights optimize routes and capacity;

✅ The push vs. pull production debate and its impact on supply chains;

✅ How platforms like Easy4Pro enable smarter logistics management.




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