JOpt is a flexible routing optimization engine designed to solve complex tour optimization problems with constraints like time windows and required skills. It can be integrated into logistics and transportation management software or standard ERP systems, either natively in Java or as a REST service.
In this episode, we speak with Jens Richter, managing director and chief software architect at DNA Evolutions. We discuss the company’s flagship product, JOpt, which specializes in logistics optimization using advanced AI algorithms. Jens explains the evolution of JOpt since its inception in 2005, the integration of AI technologies, and how the software helps companies manage complex logistics challenges. The conversation also highlights JOpt’s unique features, flexibility for businesses of all sizes, and real-world impacts on logistics operations. Jens discusses the complexities of urban logistics, the innovative solutions they provide for delivery optimization, and the importance of sustainability in logistics. He highlights the role of AI in enhancing efficiency and the significance of strategic partnerships in the logistics sector. The discussion also touches on the future of automation in logistics and how their software adapts to changing scenarios.
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