For supply chain leaders, inventory health is directly tied to operational performance. 

AI now has the potential to make the existing infrastructure of data systems, planning and execution systems, spreadsheets, and data science models work as one.

The question isn’t just “do we have enough inventory?” but “do we have the right inventory, in the right places, at the right time?” 

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

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

Mike Landry, chief executive officer of ketteQ, lays out a path for companies looking to get started with using artificial intelligence in supply chain planning.

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. 

Integrated into SaaS platforms, AI classification becomes global, consistent and collaborative.