Eye on AI: As the Architect of Acceleration, How Emily Culp is Redefining Retail’s AI Frontier

In the fast-moving worlds of high-growth supplements and clean beauty, there is a distinct difference between a leader who follows trends and one who builds the infrastructure to outpace them. Emily Culp, currently the Chief Brand and Strategy Officer at BodyHealth, belongs firmly in the latter category.

With a career spanning 25 years — ranging from foundational roles at agencies such as Ogilvy and Digitas to executive leadership at global powerhouses like Keds, Clinique, and Unilever — Culp has become a definitive voice on how to scale brands with surgical precision. At BodyHealth, her strategic overhaul shifted the company from a low-teen revenue base to over $100 million, delivering 50% to 100% CAGR year-over-year.

As retail enters the age of artificial intelligence, Culp isn’t just watching the transformation, she is architecting it.

Cutting Through the AI Noise

For many CEOs, the current AI landscape feels like a deluge of “shiny objects.” Culp’s approach to technology is refreshingly pragmatic, rooted in her experience navigating hyper-growth and private equity-backed turnarounds.

“The noise lives in demos, decks, and soundbites from executives, and the signal shows up in cohort curves, LTV:CAC, inventory turns, and contribution margin,” Culp explains.

She advises leaders to move past the hype by tethering every AI investment to a core KPI. “Pick two or three very specific, high-value use cases, and execute them rigorously,” says Culp. “Require that every AI investment has a clear owner, a before/after KPI, and a 6 to 12 month payback hypothesis.”

Personalization as Service, Not Surveillance

Culp’s tenure as CEO of CoverFX Skincare and her work at Clinique established her as a “digital native” who understands the delicate balance of consumer trust. In an era where algorithms can feel invasive, she argues that “hyper-personalization” must be redefined as an act of service.

“Hyper-personalization only works when it feels like genuine service, not surveillance,” says Culp. “I’m a big believer in guardrails … so the consumer chooses the depth of personalization, and the brand earns the right to use more data by delivering real value back. You want your brand to be a trusted friend.”

This philosophy extends to the physical world. A decade after pioneering the “store of the future” at Rebecca Minkoff, Culp sees Generative AI as the bridge that finally closes the gap between the screen and the shelf. She envisions stores acting as “learning laboratories” where AI uses real-time demand, weather, and neighborhood data to localize assortments and empower associates with instant product insights.

Governance from the Boardroom to the Warehouse

Culp’s influence extends beyond operations into the boardroom, where she serves as a director for companies like Stio and the AI-driven marketing platform Cordial. For boards, she simplifies the complex AI conversation into three strategic pillars: purpose, protections, and payback.

She emphasizes that fiduciary responsibility now includes a deep understanding of data risk and AI ethics. However, she believes the best way for a director to lead is through immersion.

“As a board director, you need to be immersed in AI via playing, exploring, and using all the AI models,” Culp says. “It is paramount that you are learning firsthand … so you can speak about the true benefits you drove or conversely the challenges your company faced and how you mitigated the risk.”

The Trust Moat in Wellness

In the beauty and supplement sectors, where Culp has seen her greatest recent successes, she views AI as a tool to fortify the “trust moat.” This includes everything from using AI as “label translators” for complex ingredients to ensuring supply chain transparency.

“In beauty and supplements, trust is the moat,” she notes. AI can empower consumers — whether they are Olympic athletes checking for NSF (National Sanitation Foundation) certification or wellness enthusiasts reading clinical papers — to make informed decisions about their longevity and health.

The Cultural Hurdle

Despite the technical potential of AI, Culp maintains that the biggest barrier to transformation isn’t the code, it’s the culture. Drawing on her work with McKinsey & Co. and Bain transformation teams, she points out that legacy retail is often too siloed to move at the speed of modern data.

“AI threatens legacy power centers because it makes performance radically more transparent and compresses decision cycles,” Culp says. “The key is that leaders embrace a different mindset. AI is a new way of working versus a one-off tool or experiment.”

By aligning incentives toward shared outcomes like customer metrics and inventory health, Culp believes brands can move beyond legacy hurdles to create lasting value. In her view, the future of retail isn’t just about better machines, it’s about better strategy, deeper empathy, and the relentless pursuit of growth.

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Arthur Zaczkiewicz is a former executive editor at WWD and has appeared in WWD, WWD Voices, Beauty Inc, Footwear News, WWD JAPAN.com, Yahoo Entertainment, Yahoo Life, Yahoo Tech, MSN, Yahoo Canada, Yahoo News, Yahoo Singapore, Aol, Los Angeles Times, Yahoo Finance, Flipboard, Yahoo Sports, NewsBreak, Sourcing Journal, and Athletech News.