Ep 586: Laura Cantor: Digital Transformation, AI Collaboration, and Why We're All Failing Calculus Together
DTC Podcast · with Laura Cantor · February 16, 2026 · 51 min
Summary
Laura Cantor, VP of Marketing & E-commerce at New York & Company, unpacks the realities of digital transformation within a legacy retail brand, highlighting the dual nature of AI in identifying site issues while simultaneously introducing new complexities. She details the strategic pivot from Shopify Hydrogen back to Liquid, underscoring the triumph of simplicity and stability over cutting-edge architecture for established businesses. The episode emphasizes the critical need for adaptability (AQ) and collaborative partnerships in navigating the evolving retail landscape and the overwhelming influx of AI solutions.
Key takeaways
Legacy brands should pragmatically evaluate platform choices; New York & Company's shift from Shopify Hydrogen to Liquid demonstrates that simplicity and stability can outweigh cutting-edge architecture, especially before critical sales periods like Black Friday.
AI offers powerful tools for site QA (e.g., identifying 500+ site issues), but recognize the 'translation gap' where AI findings require significant human interpretation and can create new problems, necessitating careful integration into workflows.
Prioritize Adaptability Quotient (AQ) within your team and foster an environment of continuous learning; the rapid pace of technological change, particularly with AI, demands that teams can unlearn old methods and quickly adapt to new tools and strategies.
Embrace collaboration and 'building in public' over pure competition. Laura Cantor's experience suggests that sharing challenges and learnings openly fosters stronger industry communities and accelerates collective problem-solving in the complex AI era.
When considering AI solutions, be acutely aware of the 'problem of 10 AI solutions for every problem.' Focus on solutions that clearly integrate into existing workflows and address specific pain points, rather than adopting every new AI tool without clear purpose.
Subscribe to DTC Newsletter - https://dtcnews.link/signupLaura 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.https://zenyt.ai/growIn this episode:🚀 Leading digital transformation at a legacy retail brand🤖 Using to find 500+ site issues (and the problems AI creates) zenyt.ai/start💻 Moving from Shopify Hydrogen to Liquid right before Black Friday🤝 Why partnerships replaced competition in retail🧠 AQ (Adaptability Quotient) - the skill that matters most📱 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 (zenyt.ai/start)- 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 togetherTimestamps:0:00 - Intro1:30 - Laura's retail background (Ralph Lauren, J.Crew)2:10 - New York & Company's digital transformation journey4:40 - The biggest challenges: doing more with less8:15 - AI creates problems AND solutions (the QA challenge)15:50 - Why we moved from Hydrogen to Liquid21:10 - The post that resonated across the industry28:30 - Why partnerships matter more than competition now33:00 - How agile teams adopt AI tools36:35 - We&
What does this episode say about retail & omnichannel?
Legacy brands should pragmatically evaluate platform choices; New York & Company's shift from Shopify Hydrogen to Liquid demonstrates that simplicity and stability can outweigh cutting-edge architecture, especially before critical sales periods like Black Friday.
What does this episode say about ai & automation?
AI offers powerful tools for site QA (e.g., identifying 500+ site issues), but recognize the 'translation gap' where AI findings require significant human interpretation and can create new problems, necessitating careful integration into workflows.
What does this episode say about shopify & ecommerce platforms?
Prioritize Adaptability Quotient (AQ) within your team and foster an environment of continuous learning; the rapid pace of technological change, particularly with AI, demands that teams can unlearn old methods and quickly adapt to new tools and strategies.
What does this episode say about founder & leadership?
Embrace collaboration and 'building in public' over pure competition. Laura Cantor's experience suggests that sharing challenges and learnings openly fosters stronger industry communities and accelerates collective problem-solving in the complex AI era.
What does this episode say about retail & omnichannel?
When considering AI solutions, be acutely aware of the 'problem of 10 AI solutions for every problem.' Focus on solutions that clearly integrate into existing workflows and address specific pain points, rather than adopting every new AI tool without clear purpose.
