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The No-Hype Guide to Retail AI - John Clancy
Season 5 Episode 4
John Clancy of Galvia and Maryrose Lyons of the AI Institute, AI Adoption specialists for the built environment sector make the case for curiosity, shared data, and human-AI collaboration that improves decisions across every store.
Description
This episode centres on people: giving Retail Managers a clear, shared view of performance and using gen-AI to ask better questions of the business.
John Clancy outlines how to spread successful tactics across locations how they discuss talent pipelines, internships, and why Manchester and France offer useful models for pro-AI environments.
Episode Notes
- “Once the model goes live, that’s the beginning”—why adoption is a people programme.
- Democratise access: managers query KPIs and predictions in natural language.
- Share successes fast: one-click ideas from Cork to every other store.
- Train for cross-sell moments (café, grooming) without hard selling.
- Literacy shift: beyond “write emails” to using data for decisions.
- Talent reality: startups can’t match salaries; offer breadth and impact instead.
- Policy backdrop: AI campus, minister, and investment fixes to raise national ambition.
- Safe by design: data remains within the retailer’s four walls.
- Practical proof: targeted re-engagement drove 4.4% revenue uplift.
- Curiosity as a KPI: reward teams for testing and sharing what works.
Subscribe to Chatting GPT for clear, human-first stories on from people who are using AI to deliver real results—fortnightly drops.
Keywords
AI literacy, Built Environment AI, AI Adoption, AI Transformation, AI culture, human-AI collaboration, democratising data, store manager insights, generative AI at work, curiosity at work, retail decision-making, UK Ireland AI, Manchester ecosysem, France AI policy, team enablement, knowledge sharing, Galvia, Chatting GPT
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Published on 4 weeks ago