Scott Mann

The logistics and transport sector contributes about 24% of global CO2 emissions. Considering the push for supply chain sustainability across different sectors, the need for lower emissions has been heating up in recent years. With roughly a quarter of the world’s emissions tied to logistics, this industry will possibly be the final frontier to tackle regarding sustainability. While different strategies can be leveraged to reduce the impact of logistics operations on the environment, integrating eco-friendly practices and reducing Scope 3 emissions are some of the most pressing initiatives at hand. This article serves as a guide that will provide actionable steps for companies to embrace innovative solutions and navigate the transition toward a greener future. Scope 3: Understanding Supply Chain Emissions Modern supply chain management outsources different parts of the operation to leverage the expertise of different suppliers and stakeholders. Logistics operations are usually outsourced to third-party providers, and exercising control over their operations and monitoring their sustainability practices and emissions can be challenging. Here’s the harsh reality: no matter how well an organization manages to reduce Scope 1 and 2 emissions, the unaddressed Scope 3 emissions can bring the entire process to a screeching halt. This is especially true…

At Gartner Supply Chain Symposium/Xpo 2026 in Orlando, some of the sharpest minds in supply chain gathered to tackle one central question: what does the next operating model for supply chain actually look like? In a special livestream conversation, Scott Luton sat down with Mike Griswold, VP Analyst at Gartner, alongside fellow Supply Chain Now hosts Karin Bursa and Jake Barr, to unpack the biggest themes emerging from this year’s symposium. The consensus? Supply chain leaders are moving beyond AI fascination and toward something much bigger: redesigning how decisions, workflows, and organizations operate.   AI Is No Longer the Story. Outcomes Are One of the strongest themes from the event was a more mature, pragmatic approach to AI adoption. According to Mike Griswold, many organizations are finally moving past the “shock and awe” phase that dominated conversations a year ago. “People need to figure out exactly what problem or problems AI is going to solve for them,” Griswold explains. That may sound simple, but it represents a significant shift. Instead of experimenting with AI for AI’s sake, companies are becoming more disciplined about identifying operational value and measurable business outcomes. Griswold also warns against a familiar trap: creating “highly efficient…