Digital Transformation

Most CIOs at large companies are growing their IT teams, according to Gartner, and are relaxing some requirements in order to fill their ranks. 

While not new, IoT carries great potential to unlock further value for AI in the supply chain, and it’s on the radar for many leaders.

In Unpacked, CGT's new series of Tech Explainers, we break down AI in the supply chain, including its benefits and drawbacks, and where today's leading experts see the future potential. 

Artificial intelligence can impact every link in the supply chain thanks to its ability to optimize data collection to increase visibility into operations, quicken decision making to proactively identify risks, and provide recommendations to head off challenges and seize new opportunities. 

It’s not enough to simply invest in new technology and expect automation to take the reins. The successful future of AI in the supply chain depends upon forward-thinking, well-trained and well-supported IT teams. 

For companies that are able to invest and position their business to unlock the potential of AI in the supply chain, the technology can provide a distinct competitive advantage.

While maturity levels vary for artificial intelligence in logistics and the supply chain, it has the potential to facilitate more accurate and efficient decision-making.

While AI in the supply chain is far from a magic salve, both it and IoT can deliver an elevated level of visibility into the supply chain.