NRF 2026 Recap: Solving Retail's Execution Problem with Digital Coworkers

NRF 2026 Recap: Solving Retail's Execution Problem with Digital Coworkers

During the three days at NRF 2026, we saw that retail’s biggest challenge is now rapid execution, not content creation. At our booth, we showed how digital coworkers help teams work faster. The feedback made it clear that this is what retail teams need.

On the Floor at Booth 2143

Our booth at the Javits Center was busy the whole event. Many conversations and demos showed that slow, manual workflows are a common problem that hold back good strategies.

We showed how Gradial’s digital coworkers make important tasks easier and faster:

“This is the missing link between our strategy and our site.”
— VP of E-commerce, Global Apparel Brand

From Strategy to Execution: AI in Retail Gala

Gradial’s co-founder and CEO, Doug Tallmadge, joined other industry leaders on the main stage to talk about how intelligent agents are changing the future of retail work.

“We're moving from AI that suggests to AI that executes. This is not about replacing teams, but giving them the leverage to scale what matters.”
— Doug Tallmadge

The group discussed how agentic AI removes repetitive work, reduces errors, and helps teams execute faster. These autonomous systems can log into tools, update information, and complete tasks across merchandising, marketing, and customer experience operations.

What's Next

Thank you to everyone who stopped by, joined a demo, or shared their thoughts. Focusing on execution challenges made this our most productive NRF so far.

Continue from the event recap to the retail execution path.

Explore retail execution

Gradial

Gradial is a Seattle-based AI content operations platform built for enterprise marketing teams. From Fortune 500 brands to fast-moving partners, Gradial helps organizations plan, produce, and update content across CMS platforms like Adobe and Sitecore. Marketers use Gradial to move faster, reduce complexity, and focus on strategy over workflow.