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Taply AI · Restaurant intelligence

Your questions.
Your restaurant.
A clearer picture.

Ask about the service, understand your menu and find the story behind the numbers. Put your restaurant’s data to work in a conversation.

A chef in a golden apron preparing a sandwich in a warm restaurant kitchen.
Taply AIWhat’s on your mind
after service?
Which dishes did guests love tonight?
Your restaurant. A conversation with context.
Real restaurant photography · illustrative AI interface

Restaurant intelligence

Start with what’s on your mind.

A question about the shift. A closer look at the menu. A little more context for the next decision.

Taply AIRestaurant · Example
How did dinner compare with lunch?

Dinner accounted for 60% of completed checks.

The sample restaurant completed 72 dinner checks and 48 at lunch. Look at covers and check values alongside this count before drawing a sales conclusion.

Completed checksSample Friday · Main dining room
Source: Completed-check report

Next question: how did the average check compare?

Your sample board is ready for a useful finding.
Interactive illustration · fixed fictional data · no AI request or restaurant changes

From a question to a useful finding

There’s more to every number.

The service, summarized

Bring sales and order activity into a clear shift review.

A menu worth exploring

Compare dishes, item mix and the context behind a change.

A meaningful comparison

Look across days and service periods with the same measures.

Charts to come back to

Pin a useful view and keep the findings close to your team.

A better follow-up

Go from a broad question to the part you want to understand.

Your own judgment

Add your knowledge of the room before deciding what to do.

Actual Taply Restaurant interface · demonstration data
Restaurant analytics
Actual Taply Restaurant analytics interface with demonstration data
Actual Taply Restaurant interface · demonstration data

Keep the evidence close

A good answer
has a starting point.

The report behind the answer matters. Keep the location, period and source records visible, then use what you know about service to interpret the result.

  • Review the restaurant and reporting period.
  • Compare like-for-like measures and order types.
  • Check incomplete records and unusual service conditions.
Explore Restaurant insights

For the person behind the restaurant

You know your guests.
Get to know the patterns.

Use the numbers to start a conversation with your team.
Bring your experience to the decision.

Try another sample question

Taply Restaurant

Your service has its own rhythm.
Let’s find your setup.

Bring your menu, your routines and your questions to a personal walkthrough.

Book a Restaurant walkthrough

Your questions, answered.

What can I explore with Taply AI?

Start with sales, menu performance or a service period. Ask a question, review the report and use a follow-up to narrow the comparison. The restaurant and reporting period belong with every answer.

Can I use AI to review a shift?

Use a shift summary to bring the activity into focus, then look at the records behind it. Taply’s on-device shift-analysis option requires a compatible Apple Intelligence device and setup; review those requirements in your walkthrough.

Does an answer change my menu or staffing?

An insight supports your decision. Your team reviews the evidence and chooses what to change. The examples on this page show a conversation, not an automatic menu, staffing or payment action.

Can I try the examples here?

Yes. Switch between sales, menu and service questions, then pin a chart to the sample board. These examples use fixed fictional records and reset when you reload the page.

How do I check the right setup?

Bring your questions, devices and restaurant structure to a personal walkthrough. We’ll discuss the feature configuration, access and plan that fit the way you work.