Most QSR brands are talking about AI. A few are already seeing it in the numbers.
The NRN editorial department was not involved in the creation of this content.
June 18, 2026
It's Saturday at 8pm, and the game is about to start. Across the country, hundreds of thousands of people have settled onto their sofas, opened a delivery app, and started to order. No window of your week carries more buying intent, or more volume.
And right now, your operation is quietly failing it.
A location has dropped offline, and no one has noticed. Two of your bestsellers ran out forty minutes ago but still show as available on every platform, so the orders keep coming, and so does the disappointment. Your most profitable item sits three screens deep in a menu that hasn't been touched since last quarter. And the orders that aren't failing silently are landing in a kitchen that's already behind.
This isn't a crisis. It's a normal Saturday night in 2026.
Revenue walks out, and no one sees it go
None of this is bad luck. It's structural. The modern QSR runs across more channels, more locations and more menus than any team can watch by hand, and the moments of greatest revenue potential are precisely the moments the operation is most exposed. Peak hours don't forgive. A bestseller that has sold out yet still shows as available, a store gone dark, a rigid menu that can't push the right product at the right time: each one is revenue walking out of the door, and most of it leaves without a sound.
Then there's the revenue you never even reach for. Take a major sporting event. A team qualifies for the final on a Tuesday; the match is on Saturday. For a marketing team, that isn't a window. It's a wall. A campaign to seize the moment means briefing an agency, agreeing fees, producing creative and updating menus across every platform and territory. Weeks of work, and tens of thousands of pounds. By the time it could go live, the final has already been played.
For most of this industry's history, problems like these had no real answer. They were filed under the cost of operating at scale. That filing is now out of date.
A digital workforce that never clocks off
Deliverect AI is built on a deceptively simple idea: the moments when your revenue is most exposed should be the moments your operation is most capable. It delivers this not as a single tool but as a digital workforce, a team of AI agents and assistants, each acting autonomously within limits you define, that between them cover the full arc of a digital order. Working out what to sell, getting it to market, and making sure it lands.
It begins with the menu, and an agent that never stops working on it.
Running in continuous cycles, the autonomous agent reads your sales data to learn what sells, what underperforms and how to lift the value of every basket, then surfaces your most profitable items at the moments customers are most likely to buy them, and deploys upsells and bundles on its own.
The menu stops being a fixed asset and becomes a living one, refining itself location by location long after your team has gone home.
But knowing what to change is worth little if changing it still takes weeks, and that is the gap the Smart Assistant closes. It is intelligence on demand: you type what you need, and it executes instantly, standardising descriptions, applying allergen tags, harmonising imagery across fifty stores at once.
When it adapts a visual for a campaign, the product itself stays untouched, the dish is exactly as photographed, and it reworks the world around it instead: the backdrop, the styling, the seasonal cues that make a listing feel built for the moment. That framing is far from cosmetic. A campaign built around a moment of mass attention, say a QSR dressing its menus in national team colours through a World Cup, turns an ordinary week into an occasion.
The numbers behind promotions that are limited in time and tied to a moment are hard to ignore: they can lift sales by up to 20%, according to Nation’s Restaurant News, as urgency pushes order values higher and pulls extras into the basket. So the team that qualified on Tuesday no longer faces a wall.
With the Smart Assistant the campaign is live by Wednesday, across every location and channel, for a fraction of what an agency would have charged, and the revenue spike that was once out of reach is suddenly in range.
The clearest read so far comes from the chain that has pushed furthest with both agents, which went live in May. Measured against its own baseline from before deployment, the early numbers all point the same way: revenue up 14%, average order value up 15%, and 10% more orders now including an upsell. These are early figures, and from a single chain rather than the whole customer base. The direction, though, is precisely the one the agents were built to produce.
"It isn't magic, and we have never sold it as such. It's a workforce," says Jelte Vrijhoef, Chief Product Officer at Deliverect. "We built these agents against this one simple test: does this hand an operator back time, or put money on their P&L? If it does neither, we don't ship it. These early numbers suggest we asked the right question."
Yet the best menu and the sharpest campaign share a single, unforgiving dependency: the order has to reach the kitchen. The third agent stands guard over exactly that. Watching order flow in real time, it resolves the technical faults that quietly cost you sales (failed POS injections, mismatched PLUs, outdated menus) the instant they occur, with no one on your team lifting a finger. The orders that would once have failed in silence simply go through.
None of this happens in a black box. Every agent works within enterprise-grade guardrails you set, can be tailored to individual stores or markets, and reports into a single dashboard that shows precisely what it has done and what it has earned: revenue added, revenue protected, actions taken, locations touched. The intelligence is autonomous; the control stays with you.
Plugging the leaks you can't see
If those agents exist to grow your revenue, Sentinel exists to stop it leaking away.
Sentinel watches every store, every channel, every minute, through continuous API monitoring. When a location goes offline, whether from a technical fault, a dropped connection or a platform glitch, it catches the outage and, for brands on Deliverect Restaurants, brings the store back online automatically. There's no gap widening while an inbox at head office goes unread; the recovery runs in the background, before the lost orders pile up.
The numbers make the case. Sentinel resolves around 400 downtimes a month and helps brands hold uptime at 99%. And the revenue at stake is larger than most operators assume: Healthy Poke, one of the chains running Sentinel, lifted total revenue by 2% simply by eliminating involuntary downtime as they explain in their case study with Deliverect, a figure that compounds fast in a busy operation.
Burger King UK, one of the most demanding environments in quick service, is blunt about its value. "Sentinel helps us stay ahead," says Jon Longobardi, Head of Digital Operations in a case study hosted in Deliverect’s website, "quickly bringing our restaurants back online and preventing revenue loss."
The platform reaches beyond outages. It tracks stock availability across channels and flags items showing as unavailable when they're actually in stock, recovering the revenue you quietly lose every time a best-seller drops off the menu at peak hour.
And it reads customer reviews at scale with AI, surfacing the recurring issues behind the ratings (order accuracy, food quality, fulfilment), so brands fix causes rather than chase symptoms. What's left is the kind of visibility that simply wasn't possible at scale before: downtime heatmaps, metrics on revenue protected, and a live map of the entire estate.
The only test that matters
The lesson the leading brands have drawn isn't that AI is the future of foodservice. It's that AI only counts when it does one of two things: hands your team back its time, or puts money on your P&L.
Deliverect AI and Sentinel are built around exactly that test, not as a promise for some future quarter, but as systems running today across some of the world's largest QSR chains, turning the busiest and most exposed moments of the week into the most profitable.
Content Spotlight
The Technomic Top 500: Another tough year for chain restaurants
Top 500 chain restaurant sales slowed again in 2025 as consumers cut back on dining, but sectors like coffee, beverages and snacks and chicken thrived
Featured
Jun 17, 2026
Jun 10, 2026
Recent News
Content Spotlight
Get to know Rick Cardenas, the Darden CEO who started there as a busser
The executive shares his advice, along with his most-binged TV show, favorite sports team, and most-used app
Source: This story originated with Nation's Restaurant News.
View Original Article →