Streamline the checkout process for your guests with AI-powered tray scanning

Designed for institutional dining, IA Scan recognizes each tray in real time and processes your guests in less than 7 seconds.

Streamline checkout in your restaurant with AI tray scanning
Our customers trust us and recommend us:
Google Reviews: 4.9/5
250 institutional food service locations and 20 million meals per year managed with Innovorder.
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With IA Scan, modernize your institutional dining facility's payment processing.

Fast
Fast
Less than 7 seconds of "
" time per run, on average
Flexible
Flexible
Payment by badge, credit card, or
meal voucher card
Attractive
Attractive
A 10–15% increase in on-site traffic to

Streamline Operations at Your Institutional Restaurant

Ease the midday rush.
When crowds are concentrated into less than an hour, checkout becomes the bottleneck of the experience. With IA Scan, checkout time drops from about 1 minute with manual processing to less than 7 seconds: your guests spend more time enjoying their lunch and less time waiting.
A simple process for every guest.
They set down their tray, check the total and the balance on their card, and then pay. Their receipt is sent to them via email or as a QR code within seconds.
Recharge your badge right at the scanner.
Not enough balance? Guests can recharge on the spot, without having to go back to the register or wait in line again.
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Streamline your restaurant's operations
Modernize your restaurant with peace of mind

Modernize your restaurant with peace of mind

AI that recognizes your products.
AI Scan recognizes more than 95% of your products—and up to 100%, depending on your menu. It identifies not only each product but also the size of its container: small, medium, or large salad—each is charged at the correct price. Your pricing plans are then automatically applied based on the tray’s contents.
A catalog that's always up to date.
Your point-of-sale catalog is 100% synchronized with IA Scan: a product added during a transaction is available within minutes, and every order is automatically sent to your back office.
A service that continues even during an outage.
In the event ofa network outage, accesses paid for via badge are saved and processed once the connection is restored (excluding credit card payments and top-ups).
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Simplify your teams' day-to-day work

Refocus your teams on customer service.
During service hours, IA Scan handles checkout automatically. With your teams freed from the register, they can focus on serving customers at the counter, greeting guests, restocking, or preparing for the next day.
A few minutes in the morning saves time all day long.
Before service begins, the team photographs the day’s dishes: 15 to 20 minutes for a restaurant serving about 1,000 covers, which saves more than an hour and a half of data re-entry at the end of the service.
An assisted checkout lane is always available.
If a guest disputes their order, they can submit it with one click from the scan, and the operator will correct it. For unexpected situations or guests who prefer a traditional checkout experience, an assisted checkout lane remains available.
Request a demo
Simplify your teams' day-to-day work
They trust us and recommend us.
Céline
Céline Le Gall
Regional Director, API Catering
api
“Smooth service is extremely important in institutional dining, where there are high volumes of customers between 12:15 p.m. and 12:45 p.m., which is why we chose IA Scan.”
Read his testimonial
Roland Dichiara
Roland Dichiara
Rhône Valley Area Manager, API Restauration
api
“Table scanning allows us to improve efficiency, since it takes only a few seconds per guest.”
IA Scan integrates easily into your dining area, regardless of its layout.
Compact and equipped with a built-in touchscreen, the second-generation IA Scan fits on any counter: 52 × 34.5 cm footprint, 10.5 kg, and accommodates trays up to 52.5 × 36.5 cm. All it needs to operate is a power outlet and an Internet connection. All your guests have to do is set down their tray, pay, and enjoy their meal!

Why choose Innovorder.

An all-in-one ecosystem designed for institutional food service.
Teams from the institutional food service sector
Automated reports on all your data
A single point of contact available 7 days a week
92% of customers are satisfied
Checkout, tray scanner, kiosk: a complete ecosystem
Local human support
Synchronize Innovorder with your favorite integrations.
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uber eatsdeliverooinpulseflyntspliocomboheypongoedenredcomostuartpennylaneskellostripe

The questions we're asked about our plateau scan with artificial intelligence:

How does the 2nd-generation IA Scan work?

The guest sets down their tray: IA Scan recognizes the items in real time and displays the total and the balance on their card. They pay using their card, credit card, or meal voucher card, then receive their receipt via email or as a QR code.

What happens if the AI makes a mistake?

The guest submits their order with a single click using the scanner. The operator reviews and confirms it, and the guest receives an updated receipt.

Does the flatbed scanner work without the Internet?

In the event of a network outage, passes paid for using a badge are saved and processed once the connection is restored (excluding credit card payments and top-ups).

Should we take photos of the products every day?

Yes, for the daily specials: the team photographs them before service, which takes about 15 to 20 minutes for a restaurant serving 1,000 covers. Items that are the same from one day to the next do not need to be photographed again.

Does IA Scan replace checkout staff?

No. The staff freed up from the register are reassigned to customer service, the front desk, or food preparation, and an assisted register remains available for unforeseen circumstances.

For which IA Scan facilities is it suitable?

Corporate cafeterias, prestigious universities, training centers… There is no minimum number of seats: IA Scan works just as well for 50 guests as it does for 1,000.
Ready to get started?
Visit our showroom now for a demonstration and see what your restaurant could look like.
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