As manufacturers adjust their pricing strategies, an operational challenge has emerged: Keeping prices accurate and synchronized across core business and customer platforms.

Tessa Mahon, director analyst at Gartner, explains why companies struggle to build scenario-planning capability.

At its core, S&OP depends on establishing a single, agreed-upon version of the truth that every stakeholder can see, interpret in context, and execute against with confidence.

GLP-1 drugs are forcing companies to adapt to a sustained shift in consumer behavior and healthcare demand that touches both food and pharma supply chains.

For supply chain, logistics, and finance leaders, understanding the true impact of the 2026 GRI is no longer optional. This guide equips teams with the insight needed to anticipate change, protect margins, and make smarter parcel strategy decisions in an environment where pricing never stands still. 

Successfully deploying artificial intelligence in supply chain planning is an ongoing process, according to Nicholas Wegman, senior director and AI scientist with Zebra Technologies.

S&OP has been a common business practice for years, but has evolved to cope with an increasingly complex world, says Ingrid Gonzalez McCarthy, VP and team member with Gartner.

To ensure success in adopting AI for planning, it needs to be combined with the right data and supporting applications, says Lori Harner, VP of product marketing with SAP.

Cristina Carvallo, senior director analyst with Gartner, offers advice on how organizations can build a collaborative planning effort that unites all elements of the function.

AI capability will move from niche expertise to baseline literacy, on par with digital and data fluency.