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How Label Apeel’s Stuart Kellock is Using ChatGPT to Unlock Sales Potential

Posted Mar 19, 2025 | Views 137
# Artificial Intelligence
# Sales and Marketing
# Technology
# Strategy
# Executives
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SUMMARY

By feeding ChatGPT with past interactions, sales histories and even email conversations, Stuart has been able to categorize customers into groups that reflect their actual buying patterns — helping his team tailor their approach and uncover new sales opportunities.

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TRANSCRIPT

Dscoop is built on the power of learning together, and in our recent "AI Innovators Spotlight" episode, that’s exactly what happened.

Stuart Kellock, Managing Director of UK-based Label Apeel, took the Dscoop community behind the scenes of his latest AI experiments, showing how ChatGPT is helping him categorize customers, predict sales opportunities, and streamline decision-making.

Stuart wasn’t just talking about AI in theory. He’s actively testing it, questioning it, and figuring out what works (and what doesn’t) when it comes to practical applications in print.

AI-Powered Customer Insights: What’s Possible?

Like many Dscoopers, Stuart started with a big question: Can AI actually help us understand our customers better? The answer, so far, is promising.

Using ChatGPT, Label Apeel is identifying customer trends and behaviors in ways that go beyond traditional CRM data. By feeding AI with past interactions, sales histories and even email conversations, Stuart has been able to categorize customers into groups that reflect their actual buying patterns — helping his team tailor their approach and uncover new sales opportunities.

Streamlining Decisions and Workflows

Beyond customer insights, Stuart is exploring how ChatGPT can speed up decision-making. Whether it’s summarizing market trends, generating content ideas or refining internal processes, AI is proving to be more than just a novelty — it’s a tool that can help print businesses work smarter.

But Stuart made one thing clear: AI isn’t a magic bullet. “It’s only as good as the prompts you give it,” he shared. “You’ve got to train it, experiment with it, and not be afraid to get it wrong before you get it right.”

The Dscoop Community in Action

What made this session so powerful? It wasn’t just about listening — it was about doing. Stuart jumped into live demos, tested prompts and shared ideas on how they might apply AI in their own businesses.

This wasn’t a lecture. It was a conversation, and it’s one that’s only just beginning.

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