'Hair. On. Fire.' Quick service restaurants use AI to turn peak-hour chaos into higher sales and service

The idea didn't start with a grand strategic plan. It sparked from three unexpected words an Ecolab executive said during an ideation session with Microsoft engineers in Houston:

"Hair. On. Fire."

That, they said, is what decision-making feels like for general managers in QSRs. Not guided by dashboards or predictive insights, but by raw instinct, adrenaline, and muscle memory forged in the chaos of peak hours when every second counts.

Ecolab, a leader in sanitation and water treatment with deep relationships across franchise groups, knew something fundamental had to change. They weren't a software company, but they had something valuable: trust. They were already in the kitchens. They understood the rhythm, the pressure, and the bottlenecks.

So a question surfaced: What if we could offer something digital, something that could translate real-world chaos into real-time guidance?

That question was the ember. The Microsoft Garage Hackathon became accelerant.

Garage-Style Innovation

By the time the team entered Hackathon, the problem was well framed, but the path forward was anything but. They had data from hundreds of restaurants and a promising hypothesis, but could they surface patterns quickly and clearly enough to guide a general manager in the heat of a live rush?

Early experiments centered on building an analytics engine to measure, interpret, and explain swings in speed of service. And then came the breakthrough.

Each time a salad order came in, an already overloaded grill worker was pulled away to assemble it, triggering a bottleneck that rippled through the rest of the day.

When the system surfaced that pattern, everything clicked. This wasn't just analytics. It was coaching, revealing what even seasoned operators missed, and offering adjustments ("pull from register, not grill") that saved hours of operational pain.

Scrappy builds. Rapid iteration. Frequent feedback loops straight from the operators themselves. Classic Garage DNA at work.

Why It Matters Now

RushReady didn't just launch quietly, it hit the industry backed with proof. Case studies spread across LinkedIn and restaurant networks, and the first major pilot group delivered results impossible to ignore:

• 2% increase in sales per labor hour
• 10% faster speed of service
• 10% gains in profit margin

In any industry, those gains matter, but in QSR, they're game changing. And the impact goes beyond numbers in spreadsheets, it shows up in the people running the front lines.

Picture a general manager in San Diego-let's call her Teresa (name obfuscated for privacy). She's the kind of experienced, intuitive operator every franchise group hopes for. But most stores don't have a Teresa. RushReady gives them one capturing patterns from hundreds of restaurants and translating them into guidance any manager can act on.

As Mayur Patel put it: "Our goal was simple: help an average GM make great decisions, and help great GMs become even better."

Achieving this goal now seemed like a straightforward analytics problem, but the team soon ran into a snag.

The Twist

Halfway through development, they discovered something crucial they never saw coming: the simple speed-of-service data they'd been modeling wasn't simple at all. It varied wildly-not just from store to store, but from crew to crew, hour to hour, even weather system to weather system.

That seemingly straightforward analytics problem turned out to be a complexity maze where every variable mattered.

Instead of backing off, the team pivoted. They doubled down on adaptability, building a model that learns per store patterns and rapidly surfaces anomalies, abandoning any notion of a one-size-fits-all approach.

That shift didn't just keep the project alive; it was the key. It unlocked the very capability RushReady needed to work.

Where Are They Now?

Ecolab RushReady is now scaling across major franchise groups in the U.S., with new brands interested in joining. Ecolab is seeing digital transformation as a new category of offerings built on decades of earned trust.

"RushReady marks a fundamental shift in how kitchens operate, turning raw, high-pressure moments into instant, actionable insight. It began by understanding the rhythm of real kitchens and evolved into a trusted digital partner that helps leaders navigate the chaos, not pick up the pieces after it happens," said Vince Liberatore, Principal Technical Program Manager at Microsoft.

Inside Microsoft, the project has become a model for how teams co-develop strategically with enterprise customers:

• Start with a sharp, lived-in problem.
• Use Hackathon to de-risk the approach.
• Build a product that evolves from pilot to production.

"This team did more than follow the principle that innovation begins with listening. They showed how it comes to life in a true collaboration environment," said Ed Essey, Senior Director of Business Value in the Microsoft Garage.

Join the Movement

Innovation in the Microsoft Garage happens where passion meets possibility. RushReady shows what becomes possible when the people closest to real-world problems help shape the solutions. Explore more projects making impact on the Microsoft Garage Wall of Fame.