When it comes to supply chain ESG, most companies have a lot of work ahead to achieve the deepest levels of program maturity. But it’s worth the effort.

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.

Sustainability is a growing priority as investor and consumer pressure mounts, and governments around the world enact regulations that require organizations to report on emissions and climate-related risks.

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.

As a supply chain organization, you are uniquely positioned to impact your own emission-reduction goals, as well as those of your upstream and downstream partners — so-called Scope 3 emissions.

Increasing pressures from investors and customers, coupled with a surge in climate change regulations, are forcing supply chains to transition to sustainable practices and curb their carbon footprint.

Environmental, social and governance (ESG) regulations continue to proliferate and take on dimensions of complexity that are creating challenges for global organizations to even comprehend, let alone comply with.

Supply chains need to take four key steps to become transparent and accountable for their carbon emissions.

The manufacturing industry is in the midst of a digital revolution, with AI taking the spotlight and being deployed on a broader scale, allowing companies to elevate their sustainability efforts.

Companies need to take an integrated approach to improving the environmental performance of their warehouses. Experience shows that allowing for key factors at the outset can make the journey easier.