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

Feb 16, 2026

Laura Cantor, VP of Marketing & E-commerce at New York & Company, leads a digital transformation and experiments publicly with AI and retail tech. She talks about using AI to find 500+ site issues, why the team moved from headless Hydrogen back to Liquid for simplicity, and how partnerships and adaptability beat secrecy in today’s fast-changing retail world.

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ADVICE

Run Agentic AI Site Audits

Use agentic AI to scan live sites and prioritize issues by impact instead of manual QA at scale.
Run continuous audits so teams fix the highest-value problems first.

ADVICE

Choose Simplicity Over Headless Complexity

If headless adds maintenance and resource strain, consider moving back to Liquid for speed and simpler integrations.
Prioritize platforms that let you adopt conversion tools quickly without heavy engineering overhead.

INSIGHT

Replatforming Can Be Performance Cheap Win

Moving back to Liquid regained speed while preserving snappy UX and access to Shopify's ecosystem.
Laura credits cleanup of deprecated apps and assets as a big part of performance gains.

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