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DTC Podcast | Ep 586: Laura Cantor: Digital Transformation, AI Collaboration, and Why We’re All Failing Calculus Together

DTC Podcast
DTC Podcast
DTC Podcast | Ep 586: Laura Cantor: Digital Transformation, AI Collaboration, and Why We're All Failing Calculus Together
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Laura Cantor, VP of Marketing & E-commerce at New York & Company, shares the reality of transforming a legacy retail brand in the age of AI – and why nobody can do it alone.

In this episode:

πŸš€ Leading digital transformation at a legacy retail brand

πŸ€– Using AI to find 500+ site issues (and the problems AI creates)

πŸ’» Moving from Shopify Hydrogen to Liquid right before Black Friday

🀝 Why partnerships replaced competition in retail

🧠 AQ (Adaptability Quotient) – the skill that matters most

πŸ“± Building in public and learning together

⚑ The reality of doing more with less in 2025

🎯 Why every problem now has 10 AI solutions (and nobody knows which works)

Key topics:

– The shift from headless back to Liquid (and why simplicity won)

– AI-powered site QA and the translation gap

– Why collaboration beats secrecy in the AI era

– Post-COVID conference culture and community building

– Adaptability and unlearning in real-time

– NRF insights and retail trends for 2025

– The calculus class we’re all failing together

Timestamps:

0:00 – Intro

1:30 – Laura’s retail background (Ralph Lauren, J.Crew)

2:10 – New York & Company’s digital transformation journey

4:40 – The biggest challenges: doing more with less

8:15 – AI creates problems AND solutions (the QA challenge)

15:50 – Why we moved from Hydrogen to Liquid

21:10 – The post that resonated across the industry

28:30 – Why partnerships matter more than competition now

33:00 – How agile teams adopt AI tools

36:35 – We’re all failing calculus together

39:00 – Adaptability Quotient (AQ) – the new essential skill

44:50 – The power of clarity: translating robot to human

52:30 – Why retail is fundamentally a people business

55:45 – Upcoming events (eTail West, ShopTalk, Commerce Next)

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