Happy 2026 for all the listeners of "Girls who prompt!" š„³
In this conversation, we sit down withĀ Tom Maryniarczyk, a seasoned AI and data platform leader with deep roots in global retail and e-commerce. From leading data and digital transformation initiatives at Walmart Canada and The Home Depot to his current work at Pet Valu, Tom has been building and scaling data-driven systems long before AI became a buzzword.
We talk about whatĀ actuallyĀ makes AI work in retail (spoiler: itās not just fancy tools), why data quality remains the biggest blocker, and how AI is evolving from a helpful āassistantā into something much bigger-Ā agentic commerce, where AI agents may soon shop, decide, and act on our behalf.
This episode is practical, honest, and grounded in real experience, including what fails, what scales, and what retailers need to get right before jumping on the AI hype train.
In this episode, we cover:
Why data foundations matter more than AI models
How AI tools are becoming usable for non-technical teams
What agentic commerce really means for consumers and brands
How AI reduces friction across the shopping journey
Why failure is part of building meaningful AI systems
If youāre curious about the future of shopping, AI in retail, or how data turns into real business impact, this oneās for you.
Meet the guest:
Meet the hosts:
Karin Nemecā LinkedIn ā the finance brain and founder exploring the fine line between human emotion and machine response.
Ave Annuk ā LinkedIn ā marketer and experimenter wondering what happens when AI stops being just a tool and starts acting like a companion.
Meet the team:Ā
šµ Post-production, editing & music by Vincent Roy
š§ Write us: [email protected]
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