Webinar: After FESPA. How AI just leveled the playing field in print production

Why AI dominated FESPA, and what that means for your operation. Four marquee sessions on AI in print operations, including a counter-session arguing against it. The industry has moved from asking whether AI is real to deciding how to deploy it. We will walk through what changed and what to do in the next twelve months.

The integration playbook the leading PSPs are using right now. ESP Colour, TidyMerch, Bennett Graphics, WeMust. Different sizes, different geographies, different product mixes. Same pattern: centralize on one AI-native platform, and grow without adding cost.

The build-it-yourself trap. Prospects came to our booth telling us they had tried to build their own AI estimator. They quickly discovered the real cost stack: development, agent selection, maintenance, hosting, security. We will walk through the five structural reasons no PSP should build it themselves, and why the competitors who tried have given up.

A first look at GelatoConnect One. The AI-native layer connecting estimating, order intake, production, procurement, logistics, and invoicing. From a quarter of your volume to close to all of it, on the same platform.

You will leave with the framework to think about AI in your business, the proof points to share internally, and the clearest possible answer to the question every PSP is now facing: am I integrating, or just accumulating?

 What print producers are saying:

• ESP Colour: 200+ estimates a day, each in 15 seconds. 108 hours of quoting effort saved every week. EBIT lifted by 7 percentage points. Profit margin doubled.

• BSG: won a £750,000 tender using instant quoting. Faster response, less admin, better margin control on competitive bids.

• TidyMerch: doubled output in 2024 without adding machines or staff. Charlie Saunders, CEO, on the FESPA AI panel: "I chose GelatoConnect because I did not want to spread AI across ten tools."

• WeMust: 20,000 orders in their first month live. Largest DTF producer in Canada, top ten in North America. Bought a second production machine within two weeks.