Top 3 Reasons Supply Chain is a (Relatively) Easy AI Win

There are multiple applications: We're not talking about just one small part of the whole that machine learning (ML) and AI have the opportunity to affect - in fact, there is opportunity throughout the chain, from more efficient delivery routes to price optimization and everything in between. The data is so siloed today: Across the supply chain, data is stored in many different places with different systems, and it's rare to consider it all together as a whole. That's why when enterprises do break down information silos there is so much to uncover that was previously unseen. The opportunity for automation is huge: When it comes to ML and AI in the supply chain, it isn't just about optimization, but also automation - removing steps from the process that humans previously had to do manually. There are multiple applications: We're not talking about just one small part of the whole that machine learning (ML) and AI have the opportunity to affect - in fact, there is opportunity throughout the chain, from more efficient delivery routes to price optimization and everything in between.