Technology/Services

C-store digital ordering is up 25% as AI reshapes product discovery, experts say

Next wave of customers won’t browse—they’ll delegate, says Matt Van Gilder of NexChapter
Matt Van Gilder (left) of NexChapter and Steve Siegel of Lula Commerce presented at CRU.
Matt Van Gilder (left) of NexChapter and Steve Siegel of Lula Commerce presented at CRU. | CSP Staff

C-store digital ordering is growing 25% year over year, and 34% of customers in the convenience-store channel have ordered via a mobile app.

This insight comes from Steve Siegel (pictured right), director of sales at Philadelphia-based Lula Commerce, an artificial intelligence (AI)-powered e-commerce technology company for convenience retailers, and Matt Van Gilder, vice president of omnichannel at NexChapter, a Des Moines, Iowa-based consulting firm helping retailers with loyalty, retail media and digital commerce strategy

Siegel and Van Gilder spoke at CSP's Convenience Retailing University conference on Feb. 25 in Austin, Texas. The two broke down what category managers need to know about optimizing for digital menus, third-party marketplaces and the rise of AI agents shopping for the c-store customer.

The next wave of customers won’t browse the internet—they’ll delegate to AI, Van Gilder said. 

“In that moment your product data is your only merchandiser,” he said. “The brands that win digitally are the ones whose data is ready for machines—not just humans.”

Turning to c-store digital ordering, Siegel said building demand requires a proactive approach.

“Optimize menus for digital consumers and launch targeted promotions,” he said. 

He also offered guidance on using AI securely at work. It's safe to put public menus, product data, anonymized sales summaries and industry competitor data into AI, Siegel said. He cautioned, however, never to input employee records, vendor contract terms, internal credentials and customer personally identifiable information (PII) into AI systems.

When it comes to optimizing delivery footprint, Siegel said to rank locations according to digital ordering potential.

“Not every store needs delivery—but without data you’re guessing,” Siegel said.

Data analysis is also important when it comes to promotional sales.

“It’s often hard to delineate whether promotional sales are not incremental versus cannibalizing,” he said. “This is where data analysis can help ensure you have a lasting bottom line impact.”

Members help make our journalism possible. Become a CSP member today and unlock exclusive benefits, including unlimited access to all of our content. Sign up here.

Multimedia

Exclusive Content

Foodservice

Technomic’s 2026 State of the Menu offers foodservice strategies for c-stores

Report highlights value-driven menus, trend adoption and booming beverage categories to boost sales

Mergers & Acquisitions

Brand counts more than store count

Lessons from The Pantry, Arko and EG America reveal the risks of rapid expansion and the value of brand-focused reinvention: Morrison

Foodservice

How Arko is keeping up with QSRs

GPM Investments’ vice president of foodservice and QSR brands shares highlights of fas craves program

Trending

More from our partners