25 Mar 2026 Posted in: Blogs

AI-Powered Order Tracking for Food Delivery: How It Works and Why It Matters

Yesterday, Domino’s announced an upgrade to their iconic Order Tracker, the system they’ve been running since 2008, which has now followed more than 2.5 billion orders worldwide.

The new version adds AI-powered precise ready times, iOS live activities so customers can follow their order from the lock screen without opening the app, GPS driver tracking, and a real-time car progress bar. Domino’s called it the gold standard in customer convenience. They’re not wrong. When a brand consistently fulfills its promised delivery time, it builds trust and credibility with customers, directly driving satisfaction and shaping positive perceptions of the brand. Meeting these expectations shows reliability and respect for the customer’s time, while failing to deliver on time can lead to frustration and disappointment. Together, transparency and consistent delivery performance create a positive, trustworthy customer experience that encourages repeat business.

AI use in food delivery with predictive ETA on mobile app interface

Customers now expect this, because delivery platforms trained them to

Every time a customer orders through Uber Eats or Just Eat, they get real-time order tracking, live driver location, and continuous ETA updates. That’s the baseline experience the platforms have set.
When those same customers order directly through your app or website, they expect the same. If your direct channel can’t match it, you’re not just offering a worse experience, you’re giving them a reason to go back to the delivery platform next time.
90% of delivery users say they prefer push notifications for order updates.

The question isn’t whether to offer this. It’s whether your tech stack can actually deliver it. Our partners, including Pizza Hut and New York Pizza benefit of these features, and use animated GIFs, progress bars, and dynamic order trackers to give customers a clear sense of progress and timing.

 

AI use in food delivery showing predictive order status and ETA on mobile screens

 

Pizza Hut’s in-app Order Tracker keeps users visually engaged while setting accurate expectations.

Why this only works with a fully connected omnichannel setup

At the core of our AI-powered ETA system is a fundamental technology designed to collect and analyze data from every step of the order journey. From a bustling Friday night to a quiet Tuesday afternoon, AI ensures that the estimated delivery time shown to customers aligns closely with actual delivery outcomes.

Accurate ETA prediction requires live data flowing in real time from every part of your operation, simultaneously. The moment any part of that chain is disconnected, your ETA becomes a guess.

AI-powered-order-tracking-automated-ETA-predictions-S4D-x-Papa-Johns

Here’s what needs to be connected:

  1. POS: the moment an order is placed and confirmed, the clock starts. Your ETA model needs to know this instantly, not after a manual sync.
  2. Kitchen Display System (KDS): preparation time varies by order complexity, kitchen workload, and time of day. Your AI needs live input from the kitchen to know how long make time is actually taking right now, not on average.
  3. Dispatch system: when the order is ready, who’s picking it up? Your ETA needs to account for driver availability, current location, and route in real time.
  4. Driver app with GPS: once the driver is on the road, continuous location data feeds back into the ETA engine. This is what makes the lock screen update possible, and what Domino’s just invested in upgrading.

Domino’s built all of this on DomOS, their proprietary operating system that connects every part of their operation into one system. That’s why their tracker works. Not because of any single feature, because everything talks to everything else. S4D is built on the same principle. One platform connecting your e-commerce, POS, KDS, delivery management, and driver app, so your AI ETA engine has the live data it needs from every step of the order journey.

What S4D’s AI-powered order tracker actually delivers

Our AI models analyse historical order patterns, order type and preparation time, live kitchen workload, and real-time traffic and delivery conditions, simultaneously, on every order.

The results across our multi-location QSR partners:

  • 32% increase in overall ETA accuracy
  • Up to 57% improvement in ETA accuracy during peak hours
  • Fewer missed deliveries
  • Reduced need for compensation coupons
  • More efficient delivery routes

As Perry van den Bunt, Head of Data & AI at S4D puts it: “Adding AI to the mix wasn’t just about numbers. It’s a win-win for everyone, headquarters gain valuable insights, employees feel motivated by transparency, and customers benefit from more accurate ETAs.”

Push notifications: What customers actually want to hear, and when

Being told proactively your order’s ETA outperforms seeing the ETA in-app. Customers want to watch their order move forward in real time. And the finding that matters most for chains building a direct channel: delays don’t cause frustration. Lack of communication does.

Here’s what customers expect to see, in order:

  • “We received your order”
  • “Your order is being prepared”
  • “Your order is on its way”
  • “Your delivery has been delayed” -> this one matters most

That last one is counterintuitive but important. Customers who receive a proactive delay notification are significantly less likely to complain than customers who notice the delay themselves. Transparency at the moment things go wrong is what separates a brand that builds loyalty from one that loses it.

S4D’s push notification system delivers all of these automatically, triggered by live data from the kitchen and driver app, so your team doesn’t have to manually update anything, and your customer is never left wondering.

AI use in food delivery showing real-time order tracking notification on smartphone

Real-time updates right on the Lock Screen (both on Android and iOS)

Domino’s just launched lock screen tracking for iOS users. S4D has been running it on both Android and iOS since 2023.

When Apple introduced Live Activities in late 2022, Uber was one of the first apps showcased using it for delivery tracking. It set a new expectation almost overnight. Flighty did it for flights. Citymapper for transit. The pattern was clear: customers expect to follow anything time-sensitive from their lock screen, without opening an app.

S4D built lock screen tracking for food delivery at the same time. and crucially, not just for iPhone users. Android has around 72% market share across Europe. A direct ordering experience that only works on one platform isn’t a competitive experience. With S4D, order confirmations, driver location updates, ETA changes, and delivery notifications appear on the lock screen on both platforms, automatically, triggered by live data from the kitchen and driver app, with no manual intervention from store staff.

Domino’s is arriving at this in 2026. Your chain doesn’t have to wait.

From checkout to doorstep, delivering more than just food

Domino’s added an “mmm” stage to their tracker, the moment the customer takes their first bite. It’s a small detail that signals something important: the customer experience doesn’t end when the order leaves the store. It ends when the customer is happy. That’s the standard the platforms have set. And it’s the standard your direct channel needs to match, not eventually, but soon.

Because every order your customer places through delivery platforms instead of your own app is a customer interaction you don’t own. Getting the ETA experience right is one of the most direct ways to make your direct channel worth switching to.

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Daan Bakker

Management

VP of Growth

Daan Bakker

Management

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