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You Can't Scale AI on Ambition Alone. 

Adoption is settled. Turning it into results is not. New research from 500 manufacturing technology leaders shows what separates manufacturers who scale from those who stall.

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The AI boom is over.
Now comes the hard part.

Across manufacturing, 60% of organizations are at broad or advanced AI adoption, up from 36% just two quarters ago. The frontier has moved from experimentation to daily execution. For foodservice equipment, the shift is real, and it’s specific. Cloud-based catalogs, automated spec sheets, and quote-to-design syncing are turning product data into faster, more accurate quotes, without re-keying manufacturer specs.
This report tells you what’s happening on the ground where AI in FES is actually working, where it isn’t, and what the organizations pulling ahead are doing differently.
What you’ll find inside:
  • Where AI in CPQ is already embedded 
  • Why integration, not technology, is the real barrier 
  • The ROI problem: only half of manufacturers measure it rigorously
  • The latest macroeconomic outlook across US and DACH markets
  • Our top recommendations for a successful path to AI adoption
See where the configure-and-quote shift is heading in foodservice equipment before your competitors do.
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0 %
of CPQ users are either already using AI or actively piloting it.
0 %
have embedded AI into quoting workflows. 31% have it fully embedded.
0 %
measure AI ROI rigorously. Everyone else is going on instinct.
0 %
cite integration with ERP, PLM, and MES as the top barrier. Speed without integration creates new problems.