Balancing Advanced Tech with Human Discernment to Scale | Laura Cantor | New York & Company

The most dangerous myth in ecommerce isn't technical debt—it's the belief that scaling requires more tools, not better judgment. Laura Cantor, marketing and ecommerce leader at New York & Company, reveals how her journey from boutique Shopify agency founder to enterprise innovator exposed a critical truth: the real bottleneck isn't technology, but organizational inertia. After leading a major tech stack overhaul that unified data across platforms, she discovered that AI's greatest value isn't in automation, but in enabling human teams to make smarter, faster decisions. The breakthrough came not from building more AI tools, but from aligning people—brands, vendors, and partners—around shared goals. By leveraging AI-powered post-purchase advertising through platforms like Rocked, her team now earns revenue from traffic they once only spent on, while delivering relevant offers across retailers. The key insight? AI doesn't replace human discernment—it amplifies it. When teams stop operating in silos and start working in tandem, the results aren't just faster—they're more profitable and sustainable. Cantor’s journey underscores a radical shift: hiring isn’t about titles, but about proven experience. She insists that small teams must hire people who’ve done the job before, not train them to do it. Otherwise, you’re just reinventing the wheel while your competition moves forward. Her advice? If you can’t afford the expert, you’re not ready to scale yet.