Navigating a linear supply chain is like driving down a one-way, dead-end street — movement is forced down a singular path and there’s only one place to go: the garbage. 

Businesses typically fall into three categories in their sustainability adoption journey. This article will address those stages and how AI can enhance and advance sustainability initiatives.

For process manufacturers, a more sustainable plant is also more profitable, productive, efficient and resilient. Smart digitization strategies can help plants identify opportunities for improvement.

Traditional linear models of production and consumption, characterized by "take-make-dispose" processes, have led to significant environmental degradation and resource depletion.

The environmental benefits of deploying AI may be overridden by the energy needed to power the technology.

Sustainability shouldn’t be isolated from business growth. Shippers, customers, carriers and investors can simultaneously reduce environmental impact while advancing their economic interests. 

To ensure the success of sustainable supply chain transformation, companies must back their plans with real-life data.

AI is emerging as a powerful tool for businesses to reduce waste in their supply chains. It can help optimize processes, predict demand more accurately, minimize waste and improve efficiency.