Oil Prices Brent Crude Fuel Gas Pump

Keeping fuel available involves a scale of activity that can be easy to overlook at the pump. Americans consumed about 374.05 million gallons of finished motor gasoline per day in 2025, according to the U.S. Energy Information Administration. That volume provides context for the daily work of purchasing, transporting, and delivering fuel. It also offers a sense of the coordination involved in supplying a product that people and businesses use throughout the day.

The delivery network involves several stages. The EIA explains that gasoline moves through refining, transportation, storage, and blending before reaching retail stations. Tanker trucks handle the final deliveries, linking a national supply network to the places where people fill their vehicles. Viewed across those stages, a delivery to a neighborhood station represents one part of a much wider process.

Prices can shift while that network operates. According to the EIA's explanation of gasoline price fluctuations, disruptions to crude supplies, refineries, or pipelines can change gasoline prices rapidly. Seasonal demand can also influence prices, even when crude oil costs remain stable. Those fluctuations add a financial consideration to the practical work of keeping fuel moving, making current pricing information potentially valuable to delivery planning.

Taken together, those physical and financial moving parts suggest a practical question for modernization. How can the people coordinating fuel deliveries bring the information about supply, transport, and pricing into a clear operational picture? That question provides a useful starting point for assessing where software, including AI, might help. A useful part of that assessment is whether the information becomes easier for people to understand and apply in their daily decisions.

Karthik Pilla, founder of myfuel.ai, a software business focused on fuel operations, believes the answer begins with understanding the people doing the work. Drawing on what he identifies as approximately 18 years in the industry, he connects fragmented software with the effort required of purchasing teams, dispatchers, and drivers.

In operations he has encountered, Pilla notes, employees move between applications to check fuel costs, locate customer agreements, arrange deliveries, and understand financial results. Information may exist, yet assembling it into something useful can require considerable manual work. He believes those repeated handoffs deserve closer attention when companies assess their technology needs.

"Combining different parts of the business in one platform can help teams see how their decisions connect," Pilla explains. "The aim is to understand both what a delivery is expected to earn and what it actually earned." His emphasis is on making operational information useful across roles.

Fuel pricing illustrates the difficulty, in his view. The original purchase price, the current cost of fuel, and a customer's agreed rate may differ. Pilla suggests that reviewing those figures alongside dispatch and delivery information can help teams understand the financial implications of their decisions without repeatedly assembling records from separate systems.

That connected view also shapes his expectations for AI. Pilla sees potential in reducing repetitive driver data entry, assisting truck planning, and drawing attention to price changes. He favors concise information that helps someone identify the next task requiring attention. "The goal is to give people the relevant information and help them act on it," he notes.

However, Pilla draws a clear boundary around the underlying calculations. He explains that his approach retains conventional formulas and business rules at the application's core, with AI helping extract and connect information above that foundation. He also considers the ability to disconnect AI models an important part of retaining control.

"AI is there to help connect the dots," Pilla explains. "The core formulas and business logic remain the foundation." For him, integrating information and introducing AI are related decisions, but each requires a clear purpose. Connecting workflows provides context that an isolated piece of information may lack.

Precision remains central to that distinction. Pilla emphasizes that small pricing differences matter in fuel operations, making predictable calculations a priority. He views human review as part of the process. "People still need to approve their plans and check that the system's suggestions align with the work," he adds.

Pilla believes growing awareness of AI is encouraging more fuel businesses to reconsider what their technology could support. His outlook centers on connecting purchasing, dispatch, delivery, and financial information while keeping the needs of each user visible. He sees the opportunity in helping people understand how their work affects the wider operation.

For Pilla, meaningful modernization would make that connection easier to use throughout the day. A purchasing decision, a driver's update, and a completed delivery would contribute to a clearer shared picture. His vision places practical assistance, dependable calculations, and human judgment at the center of a more connected fuel operation.