What Most Startups Get Wrong About AI in the Supply Chain

AI and robotics are rapidly transforming supply chains, with autonomous mobile robots (AMRs) reshaping human-machine collaboration. Yet, many businesses struggle with adoption due to integration challenges and ROI concerns. Interwoven Ventures, co-founded by Dr. Erez Agmoni, backs AI and robotics startups driving these changes. In this Q&A, Agmoni shares insights on the evolution of automation, key challenges, and the future of AI in logistics.

Supply Chain 24/7: Can you discuss the evolution of AMRs and robot-human collaboration over the past decade?  

Erez Agmoni: Over the past 5-10 years, AMRs have evolved from basic automated guided vehicles (AGVs) to highly intelligent, AI-driven systems capable of dynamic navigation, real-time decision-making, and seamless human collaboration. Progress has been significant, from highly effective Kiva Systems, which continues to operate at Amazon, to Humanoids, which aims to support the supply chain. The latter has yet to reach full maturity. 

Advances in computer vision and AI have enabled robots to operate in unstructured environments, working alongside humans in warehouses, manufacturing, and logistics. We believe that the future of robots lies in their ability to work alongside people, adapting to multiple tasks rather than being confined to the single-purpose functions we still see today. Of course, integration with other systems and digital twins will drive next-level optimization and enhance efficiency. 

SC247: From your perspective, what are the biggest challenges companies face when integrating AI and Robotics? 

EA: Many businesses face challenges with multiple systems needing integration. Currently, each sits in isolation instead of being part of a cohesive, overarching strategy. Calculating ROI continues to be difficult. Unlike temporary labor, which can be scaled up or down based on demand, robotics investments require long-term commitment, thus making it harder to align cost savings with fluctuating business cycles. 

Dr. Erez Agmoni

SC247: AMRs