What 30 Years in QSR Taught Me About Technology

Thirty years is a long time to watch an industry evolve.

I've spent most of my adult life in QSR—as a franchisee, operator and entrepreneur. I've seen headsets transform communication, kiosks reshape the front counter, third-party delivery explode, loyalty apps become essential and voice AI enter the drive-thru.

Every few years, a new technology arrives promising to change the industry. Yet when I speak with owners, franchisees and operators, I continue to hear the same problems:

Wrong orders. Long wait times. Missed upsell opportunities. Employees who don't know what success looks like during their shift. Operators making decisions without the information they need. Guests who visit once or twice and never return with no clear understanding of why.

The technology has changed. The pain points haven't. After 30 years in this industry, I believe I understand why. We've been building technology through a single lens. Most QSR technology has been developed to solve one specific issue.

Headsets improved communication. Kiosks reduced front-counter congestion. Third-party delivery created off-premise access. Loyalty apps helped brands communicate with registered guests. Voice AI is attempting to reduce labour pressure at the order point. These are all innovative solutions to real problems. I'm not dismissing any of them. The issue is that they were generally built in isolation, without considering how they connect to the rest of the operation.

The result is a QSR technology stack that can look impressive on paper while still leaving operators blind to some of the most important things happening in their restaurants. The systems don't always communicate in a meaningful way. They don't create a complete picture of the operation. Most importantly, they haven't fundamentally changed how well the restaurant understands and serves each guest.

The same problems survive every wave of innovation. I've watched operators attempt to solve the same challenges with each new generation of technology. Some improvements have been made, but the underlying problems remain.

Missing data and insight. What is actually causing a strong shift or a poor one? Which menu items are slowing down the line? How many upsell opportunities were missed? Which guests are regulars, and which never returned after their first visit That data usually exists somewhere. But when it's not clearly presented, it's hard to recognize. When it isn't available, it's impossible to act on.

Unclear definitions of success. Ask most drive-thru employees what a successful shift looks like and they'll tell you something about getting through the rush. Ask an operator what they measure and they'll talk about speed of service or order accuracy.

Both are important, but they don't tell the complete story. Did the employee recognize an opportunity to increase the order? Did the guest receive a relevant recommendation? Did the experience create a reason for that guest to return? If employees don't know what success looks like, we can't expect them to consistently deliver it. Expecting consistency, ignoring support. The person at the window is doing an incredibly difficult job. They are expected to be fast, accurate and friendly. They need to process payments, hand out orders, answer questions and identify upsell opportunities all while the next vehicle is already waiting.

Yet they have no context on who just pulled up. No signal on what offer might land. They don't know whether it's the guests' first visit or fiftieth. Consistency in that environment is nearly impossible, and yet that's what operators expect. Technology should make employees better at their jobs. It should give them useful information, provide clear direction and help them understand how their actions affect the business. Wrong orders and long wait times. The industry has been focused on order accuracy and speed of service for decades. Technology has helped at the margins.

These issues persist not because the tech doesn't work it does they persist because the systems involved don't share information effectively. The experience is disconnected. And by the time the problem appears in a report, the cars are gone and the opportunity to fix the experience has passed. No guest intelligence. Every day, thousands of vehicles enter drive-thrus. In most cases, the restaurant doesn't know whether the person arriving is a new guest, a regular customer or someone who hasn't visited in months.

What did they order previously? Did they take the upsell? Did they return? Without that information, every transaction starts from zero. That makes it extremely difficult to understand what drives frequency, loyalty, and long-term value. Lose the intelligence, and fight the uphill battle.

What the industry actually needs. The answer isn't another disconnected point solution. It's something that unifies what's already happening. It adds the layer of intelligence that has always been missing. The industry needs a solution that can connect the guest to the transaction. That surfaces the right information at the right time while giving operators a clear and honest picture of what's really going on. The best technology doesn't add complexity. It removes the blind spots. It gives operators something they've never had before: a complete picture, in real time, of who they're serving and how well they're doing it.

I've watched a lot of technology come through this industry. The solutions that last aren't simply the ones that solve one problem well they make the whole operation smarter.

That's what we're building at Vavoom. After thirty years of seeing the same pain points outlast every wave of innovation, I think the industry is ready for something new.