AI is increasingly central in logistics, blending traditional methods with advanced technologies like generative AI and machine learning to optimize routing and reduce inefficiencies. During a webinar, experts discussed how AI surpasses traditional operations research by adapting to complex logistics challenges and continuously improving transportation outcomes without the need for constant human intervention. PRIMO leverages similar AI-driven advancements to address the volatility and inefficiencies in managed transportation, ensuring optimal solutions that reduce operational setbacks and enhance customer satisfaction.

• AI Evolution: AI in logistics is constantly evolving, with traditional AI, generative AI, and operations research working together to solve complex problems.
• Uber Freight Innovations: Uber Freight uses machine learning for algorithmic carrier pricing and vehicle routing, reducing empty miles and improving efficiency².
• MIT’s Approach: The MIT Intelligent Logistics Systems Lab combines traditional AI, generative AI, and operations research to enhance routing outcomes.
• Managerial Benefits: AI technologies offer faster, more complete solutions to logistics challenges, outperforming classic methods.

Reference: mitsloan.mit.edu