Why Logistics Tech Is Failing the AI Test

In the logistics sector, many technologies are struggling to integrate effectively with artificial intelligence due to a lack of robust data infrastructure. Michael Rentz from Gnosis Freight highlights the importance of operational-grade data infrastructure, emphasizing what logistics companies need to scrutinize in potential tech vendors. This issue is significant because inadequate data systems can hinder AI's ability to optimize logistics processes, leading to inefficiencies and missed opportunities for innovation. Companies that invest in the right data infrastructure are better positioned to leverage AI for smarter, more efficient logistics solutions.