Cutting through the noise of fuel retail data
At the NACS Show 2026, Titan Cloud’s Bret Garrett and Adi Raz explained how AI helps lean teams separate signal from noise across supply, maintenance and EV charging.
Fuel retailers have never had so much data, yet running the business keeps getting harder. At the NACS Show 2026 in Las Vegas, Titan Cloud CEO Bret Garrett and Adi Raz, VP of Product & Data Science, discussed how the company, which has more than 100,000 fueling sites under management, helps operators turn that data into action.
For Garrett, the problem is not a lack of information. “Our businesses that we’re working with actually have a lot of data, but they are short on people, they’re short on systems, they’re short on an ability to process that data,” he said. Leaner teams are overwhelmed, and Titan Cloud’s role is to clean up the data and surface insights operators can act on.
That makes AI a means, not an end. “Most of our customers don’t really care how they get the insights,” Garrett said. “They want the answer.” Raz agreed: “It’s not AI for AI’s sake.” She stressed that people remain central. “The human is always going to be there,” she added. “It’s empowering the person to do what they’re best at, which is not manual, repetitive work that AI can do for them.”
One example is a new invoicing platform that lets operators photograph a bill of lading and a delivery ticket, match them instantly and generate an invoice, easing cash flow. Garrett sees this kind of precision becoming essential as fuel volumes decline in some markets. “How are they going to squeeze out the same profit with 1% less fuel next year? That’s where Titan comes in,” he said.
The same approach applies to EV charging, where Titan Cloud wants to support customers. Chargers generate vast amounts of data, and Raz noted that “almost everything in an EV charger can be fixed remotely,” provided the right signals are identified.
Looking ahead, Garrett wants to connect compliance, maintenance, analytics, supply and logistics in a single platform. That way, for example, a truck is not dispatched to a site where maintenance is under way. For Raz, the competition will shift: “It’s not going to be about solving the problem. It’s going to be who can solve it the quickest, the best, the most accurate, the most consistent way.”
