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.

Load optimization software streamlines the transportation planning process, enhances operational efficiency, reduces costs, and minimizes environmental impact.

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.

With transportation contributing to 16.2% of global emissions, embracing sustainability in all transportation modes is essential for long-term success and a greener future.

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.

A data- and technology-driven solution will minimize the industry’s carbon footprint, and bring it into line with global sustainability goals.

Implementing a mature ESG supply chain program has been proven to unlock a multitude of benefits, from reducing costs and improving brand image to increasing resilience and ensuring supply continuity.