Over 2,000 Operators Surveyed in New Drive-Thru Study

Quick-service restaurant operators want a seamless, profitable drive-thru. Legacy in-ground sensors and operational blind spots quietly leak revenue from the lane without anyone realizing it. To help leaders minimize these profit leaks, the Accelerate 2026: Drive-Thru State of the Industry Report from Envysion and TalkLP surveyed more than 2,000 operators to highlight where opportunities exist to optimize and protect this core revenue stream.

The survey found that 66.4 percent of quick-service revenue comes from the drive-thru. In fact, nearly half of those surveyed generate more than 70 percent of their revenue through the drive-thru. Findings underscored how vital the drive-thru is and why operators cannot afford to rely on outdated technology and business practices if they want to remain competitive.

For example, the study showed that drive-thru restaurants lose an average of 5.7 cars daily through abandonment. At a $15 average check, losing six cars per day equates to an estimated $32,850 in annual lost revenue per location. For a mid-size brand operating 30 units, those losses easily creep to a million dollars per year. Losses become even more drastic considering the study showed enterprise-scale brands’ (more than 50 locations) drive-thru revenue reaches 74.4 percent. But to understand drive-thru abandonment, operators need to know when and why it’s happening.

One of the biggest challenges the study unveiled was the lack of insight provided by traditional in-ground loop timers and manual tracking. While operators may rely on these at scale, traditional methods leave blind spots, and in this industry, blind spots are costly. So what blind spots do traditional in-ground loop timers and manual tracking leave, and what are the alternatives?

In-ground loop timers paint an incomplete picture because they rely on magnetic sensors buried in the concrete that only track a vehicle’s presence at specific fixed intervals. According to the report, only 33 percent of operators express confidence in these legacy metrics. The primary blind spot occurs at the very beginning of the customer journey: the pre-menu queue. Fewer than 34 percent of operators can currently measure wait times before the menu board, meaning that “invisible” abandonment, where a customer sees a long line and simply keeps driving, goes entirely undocumented.

Furthermore, loop timers are susceptible to “ghost cars” (glitches where a car isn’t registered) and manual manipulation. The study found that store-level teams may “game” the system by pulling cars forward or even unplugging hardware to freeze the clock during a rush to protect performance bonuses. This creates a data-reality gap; a spreadsheet might show a blazing 90-second service time while the actual customer is frustrated in a parking lot.

The alternative gaining rapid traction is camera-based AI and video analytics. Unlike in-ground loops, camera-based AI technology provides “visual truth” by tracking the total journey from the moment a car enters the property. Because the cameras see the entire lane continuously, they provide the context needed to pinpoint whether a stall is happening at the pre-menu queue, the speaker box, or the pickup window.

The report highlights that 55.4 percent of operators who successfully solved lane issues did so through technology and AI adoption, while only 12.1 percent found success through staffing adjustments alone. By implementing an above-ground visual layer, operators can gain real-time alerts that allow managers to redeploy labor mid-rush (shifting a team member to a “line-buster” tablet or opening a second order point) to clear bottlenecks before they lead to abandonment.

Ultimately, the transition to camera-based AI and video analytics is a strategic move to protect the 66.4 percent of total quick-service revenue that now relies on the drive-thru. As the industry moves forward, the brands that thrive will be those that turn their operational blind spots into actionable, revenue-driving insights.

To learn how to implement a roadmap for modernization, including pilot programs and real-time triggers, you can download the full report here.