Traditional drive-thru

Every car looks the same.

"Next please."
Staff rely on memory.
Generic upselling.
Loyalty starts only after an app scan.
With Order Stream

Every customer has a history.

Recognise returning customers automatically and turn first-time visitors into loyal regulars.

"Welcome back, David."
Favourite orders appear automatically.
Recognition begins the moment the vehicle arrives.
Every regular starts with a first visit.
Drive-thru restaurants
Coffee windows
Quick-service teams
Repeat customers
Store-level loyalty
The positioning

The future of the drive-thru is not just faster. It is personal.

People do not become loyal because their coffee arrived 12 seconds faster. Speed matters, and Order Stream helps with that too. But the moment that changes the relationship is recognition.

First-time visitor

Welcome them by name once they introduce themselves, then make the next visit easier.

Friday family

Give staff the context to say, "Great to see you again," without relying on memory.

Same coffee for three years

Surface the favourite order before the customer has to repeat it again.

How it feels

Small moments create lasting loyalty.

Order Stream turns customer history into simple, human prompts your team can use in the lane.

"Welcome back, Sarah."

A returning customer is recognised before they reach the speaker.

"Large oat latte again today?"

Favourite orders are close enough for staff to make the experience feel effortless.

"Great to see you for your fifth visit."

Visit milestones become moments of appreciation instead of invisible data.

Three Visit Rule

Turn first-time visitors into lifetime customers.

Most restaurants spend heavily to win a first visit. Very few have a clear strategy for the second or third. Order Stream helps your team create those early experiences intentionally.

01

First visit

Welcome them. Create an unforgettable first impression and start a customer profile.

02

Second visit

Recognise them. "Welcome back" turns a transaction into the start of a relationship.

03

Third visit

Show that they are remembered. Offer their favourite meal and thank them for returning.

10

Tenth visit

They are no longer just a customer. They are a regular.

Old way vs Order Stream

Replace anonymous service with automatic customer context.

Traditional drive-thru
With Order Stream
"Next please."
"Welcome back, David."
Every customer looks the same.
Every customer has a history.
Staff rely on memory.
Customer history appears automatically.
Generic upselling.
Personal recommendations based on previous visits.
Loyalty app required.
Recognition begins the moment the vehicle arrives.
Product screens

The recognition layer still runs on a practical order workflow.

Staff get dense order controls. The kitchen gets readable ticket lanes. Customers get a clear view of what is being built.

Order Stream order entry screen with menu buttons and repeat orders

Customer-aware order entry

Start from a registration, attach a name, view repeat history, and build the order without losing the human context.

Order Stream kitchen board with active production tickets

Kitchen tickets built for scanning

Large ticket lanes, timers, item counts, and modifiers keep the kitchen aligned during rush periods.

Order Stream bump view with complete button and order summary

One-tap completion

Bump finished orders quickly and keep the production screen focused on the order in front of the team.

Order Stream customer-facing display showing a customer's order and loyalty status

Customer-facing confirmation

Show the customer their active order, modifiers, reward progress, and a simple confirmation message while staff build the meal.

What teams see

Give every store the ability to recognise regulars automatically.

Licence plate recognition

Identify a returning customer before they reach the speaker.

Visit history

See whether this is their first, second, tenth, or hundredth visit.

Favourite orders

Make the usual order easy to suggest without making staff memorise it.

Customer notes

Keep useful service context close to the moment it matters.

Live kitchen tickets

Move from recognised customer to readable production ticket without paper handoffs.

Store-scoped loyalty

Keep reward progress and repeat history tied to the store that earned the relationship.

Core message

People do not become regulars because you recognised their licence plate.

They become regulars because you recognised them.

FAQ

Questions restaurants ask before changing the drive-thru experience.

Is Order Stream only about speeding up the drive-thru?

No. Order Stream makes ordering faster, but the bigger value is recognition. It helps staff identify returning customers, see useful context, and create the small personal moments that make people come back.

How does Order Stream recognise returning customers?

Order Stream is built around vehicle registration and licence plate recognition workflows. When a returning customer arrives, staff can see their visit history, favourite orders, and important notes before the order is taken.

Can Order Stream help with first, second, and third visits?

Yes. The product is designed to help stores treat early visits intentionally: welcome the first visit, recognise the second, and show memory on the third so the customer starts to feel like a regular.

Is Order Stream a full POS system?

No. Order Stream is a customer recognition and order workflow layer for drive-thru and fast-service restaurants. It focuses on customer context, repeat orders, live kitchen displays, customer-facing confirmation, and completion flow.

Can loyalty be turned off?

Yes. Loyalty can be enabled or disabled per store. Turning it off hides loyalty on the customer-facing display and stops new reward credit for that store without deleting existing history.

Book a demo

See how Order Stream turns the next car into a known customer.

Walk through a real lane scenario: recognise a returning vehicle, see favourite orders and visit history, build the order, watch the kitchen board update, and show the customer-facing display.

Build regulars, not just faster lines

The best first step is one store, one drive-thru workflow, and one measurable goal: more customers being recognised when they come back.