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

Host: Eric Dick
Guest: Laura Cantor, VP of Marketing and E-Commerce, New York & Company
Date: February 16, 2026

Overview

In this lively episode, Eric Dick welcomes Laura Cantor, the dynamic VP of Marketing and E-Commerce at New York & Company. Laura is at the forefront of transforming a legacy mall brand into a nimble, AI-powered digital retailer. The conversation dives into the challenges and opportunities of digital transformation, the collaborative learning curve with AI solutions, why adaptability is the critical skill in modern retail, and how the entire industry feels like it's in a tough but communal calculus class—figuring things out together.

Main Discussion Themes

1. Digital Transformation in Legacy Retail

• Background: Laura’s journey from iconic brands like Ralph Lauren and J.Crew to leading change at New York & Company (NY&C).
• Unique Challenge: Pivoting an established mall brand fully into direct-to-consumer (D2C) e-commerce.
  • "New York Co. was bought and moved all D2C. I came in slightly after that change to work on growth particularly and then ended up doing the full funnel, all the retention, all the CRM and then pivoting to site experience." (03:17)

2. AI as Both Problem and Solution

• Complexity Explosion: AI tools facilitate rapid content creation, but also create new QA bottlenecks and potential for errors at scale.
  • "We have a lot of data that's created by AI coming in, but we don't have the ability to use AI to check and QA that data. That's still a manual process." (05:38)
• Discovery: Laura piloted Zent AI—an "agentic" platform that crawls websites, surfaces and prioritizes issues, and thus helps address otherwise invisible problems.
  • "We piloted this platform... it quantifies the value of what those problems are and structures those in an order and priority that tells you this is what you need to focus on for the maximum impact." (07:00)

3. Pragmatic Tech Decision: Moving from Headless Shopify (Hydrogen) to Liquid

• Resource Reality: Headless commerce offered flexibility, but became unsustainable with limited resources.
• Strategic Migration: Shifted back to Shopify Liquid just before Black Friday, prioritizing ease of use, rapid iteration, and full integration with Shopify’s ecosystem.
  • "It wasn’t hard at all. It's actually really easy. We did a lot of customizations. It took very little resources or less than we expected to make that happen quickly." (09:48)
• Gains: Faster site, smoother integrations, more agility in testing new tools.
  • "The site's been a lot faster. It does have that snappy quality that we were on Headless in the first place... it's a better customer experience." (10:57)

4. AI-Driven QA at Scale: The Zent AI Breakout

• Found 500+ previously invisible issues, ranging from photo/description mismatches to trust-breaking details that erode conversion rates.
  • "Those copy mistakes and photo mismatching and metafields being wrong—those affected people from making purchase decisions... Those were very confusing to a customer." (12:04)
• Memorable Analogy: Eric and Laura agree on the crucial value of seeing the site “with fresh eyes,” like a customer—not just as jaded insiders.

5. Growth Levers: Legacy Brand Advantages, Loyalty, and Retention Focus

• Leverages New York & Company’s brand equity, large CRM list, and healthy repeat customer base.
• New focus on high-impact, on-site experiences; growth driven by organic means, referrals, and innovative loyalty programs.
  • "We do a lot of acquisition through organic efforts, through CRM, through pop ups, through social media, and again referrals and keeping that list really healthy and fresh." (18:42)

6. Community, Sharing, and Building in Public

• Laura’s now-viral LinkedIn post about the tech migration and QA journey sparked industry-wide resonance.
  • "It reached every single D2C brand that's really relevant and extended beyond to huge enterprises... something's going on." (19:36)
• Changing Norms: Openness around tech partners and “giving away the playbook” is now a key to progress; partnerships and learning from peers are crucial in the AI era.

7. Human Skills in an AI World: The Rise of Adaptability Quotient (AQ)

• AI is driving both layoffs and upskilling pressures: the key skill is rapid unlearning and relearning.
  • "Adaptability quotient—the ability to unlearn as quick as you learn... That's an adaptability move." (34:25)
• Laura’s agility and openness to change are cited as essential capabilities for modern e-commerce professionals.
• "Being a little bit vulnerable I think is better. Now we're more accepted because you have to be like, we're all failing the calculus class together. We are, this is AI. We are in one giant study group..." (32:01)

Notable Quotes & Memorable Moments

• On Collective Struggle:
  "We're all failing the calculus class together. We are. This is AI. We are in one giant study group." — Laura Cantor (00:43, 32:01)

• On Resource Constraints Sparking Innovation:
  "The problem of not having enough resources or budget always lead to being able to adopt things first or trying things out of the box... It served as an opportunity rather than a problem." — Laura Cantor (04:04)

• On the Impact of Public Sharing:
  "Partnership is everywhere because complexity around AI is so hard to... explain. We really need partners to grow now... It's not about like maybe there was some friction... Now we learn and grow together and depend on each other." — Laura Cantor (21:18)

• On Virality and Helping Peers:
  "That was a pure example that I got firsthand... I do a lot of calls with vendors... Everything is so complex. If you can simplify something and even just name the problem for what it is, you're just going to resonate." — Laura Cantor (36:39)

Highlight Timestamps

• 00:43 – "We're all failing the calculus class together..." – Laura on the collective challenge of AI adoption.
• 05:38 – Laura describes the challenge of QAing massive AI-generated content on the site and how Zent AI gave visibility to problems.
• 09:48 – On the (surprisingly easy) transition from Headless Shopify to Liquid, even right before Black Friday.
• 12:04 – Introduction of Zent AI, the QA agent uncovering 500+ site issues.
• 19:36 – The anatomy and reach of Laura's viral LinkedIn post—industry-wide resonance.
• 32:01 – Vulnerability, collective learning, and belonging to the AI "study group."
• 34:25 – Importance of "Adaptability Quotient" (AQ) in retail and e-commerce.
• 36:39 – Real stories of vendor relationships and why simplification is critical in AI product adoption.
• 40:47 – AI as both cause and cure for e-commerce challenges.
• 43:30 – The value of mastermind communities and real-life connections in e-commerce.

Additional Insights

• On Platform Strategy:
  Migrating off Headless enabled faster integration of new tools and simplified the tech stack, a necessary move for a lean, agile team.

• On Community & Brand Building:
  Sharing struggles and solutions publicly (on LinkedIn, at events) has become a career and growth catalyst, both personally for Laura and institutionally for NY&C.

• On Industry Culture:
  The D2C e-commerce space values openness, mutual support, and ongoing peer knowledge-sharing—setting it apart from more siloed industries.

• On Future Skills:
  Adaptability (AQ), not just IQ/EQ, is becoming the new edge, alongside a willingness to admit what you don’t know, learn from mistakes, and try, share, and iterate quickly.

• On Human Connection in a Tech World:
  Despite digital trends, real-world connections—dinners, masterminds, events—are more valuable than ever.

Event Mentions & Upcoming Appearances

• Etail West (Palm Springs): Laura speaking on UX and merchandising.
• Shoptalk (Las Vegas): Both Eric and Laura attending—highlighted as a “can’t-miss.”
• Commerce Next (New York): Another event on Laura’s calendar.
• DTC Dines: Upcoming DTC dinner series hosted by the DTC Podcast team.

Final Takeaways

• Transformation is Messy, but Collaborative:
  The whole industry, from emerging D2C brands to giants, is navigating unprecedented change—no one has all the answers, but sharing the journey is key.

• AI Will Break, Then Mend, Then Push Again:
  Automation solves problems, but also creates new ones—the smartest move is constant testing, peer learning, and adaptation.

• Your Network Is Your Net Worth:
  Building in public, championing useful tools, and helping peers makes you indispensable—far beyond what any marketing stack alone can achieve.

Keep up with Laura Cantor on LinkedIn (link in the show notes) to follow her candid updates on the ever-evolving world of digital retail and AI collaboration.