1. Four Proven AI Use Cases in Print

AI in Print: Separating Hype from Help

Introduction: Cutting Through the Noise

AI is everywhere. From keynote stages to LinkedIn feeds, it’s presented as the answer to everything. But for print service providers (PSPs), the reality is more nuanced.

Episode 3 of Unjammed: The Software Strategy Series for Print Leaders explored what AI is really doing for print today — where it’s delivering measurable results, and where the promises are still ahead of the reality.

This blog expands on that discussion, using PSP case studies and practical insights to help leaders focus on the opportunities that matter.

Why AI Matters for PSPs

Margins are under pressure. Order volumes are up, but runs are shorter. Labor costs rise as customer expectations accelerate.

In this environment, AI is not a luxury — it’s one of the few levers PSPs can pull to gain efficiency without adding headcount.

But the question isn’t “Should we use AI?” It’s “Where is AI ready today, and where isn’t it?”

Four Proven AI Use Cases in Print

1. Predictive Inventory Management

AI can forecast material needs based on historic order trends, current job flow, and seasonality.

ESP Colour used AI inventory management to free up over $300,000 in tied-up stock, reducing waste and releasing cash flow.

2. Address Validation

Shipping delays and returns are costly, especially during peak. AI-powered address validation flags incomplete or invalid addresses during order entry — before they cause failures.

The result: fewer customer complaints, fewer re-ships, and lower logistics costs.

Computer screen with check marks, boxes, a red X, a green check mark, and a location pin on a keyboard, symbolizing logistics.
3. Smart Batching & Imposition

Grouping jobs by paper type, size, and run specs is a time-consuming manual task. AI batching and imposition optimize press setups automatically.

Bennett Graphics used AI-driven scheduling and batching to cut waste from 41% down to 10% — a massive improvement in profitability.

Stacks of paper and cardboard boxes surround a pedestal with an AI chip on top, set against a gradient background.
4. Error Detection

By training on past production data, AI can flag anomalies and likely misprints before they ship. It’s like having a second set of eyes on every order — automated, consistent, and always on.

This reduces costly reprints and protects customer trust.

A computer and printer setup with a screen showing a red error symbol. Nearby are a gear, AI chip, and wrench, illustrating tech troubleshooting.

A New Frontier: The GelatoConnect AI Estimator

"Cut estimating costs by over 50% with AI Estimator Beta Program; gradient background."

One of the most exciting developments is the AI Estimator — the first smart estimation engine designed for print.

  • Job estimating today can take anywhere from 20 minutes to 4 hours, relying on skilled staff who may be bottlenecks. The AI Estimator changes that:

  • Generates quotes in under 5 minutes.

  • Cuts sales admin costs by up to 50%.

  • Uses thousands of prior jobs plus the PSP’s own parameters to deliver accurate, competitive estimates.

As Paul Hudson, CEO of Hudson Printing, put it:

“It doesn’t just make our estimation team faster and more automated – it also creates a powerful new path for buyers. They can now go to our website, describe what they want, and get a quote instantly.”

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