Run your restaurant / Analytics & Forecasting

Know your day.
Plan your next.

Make the next menu or service decision with a clearer picture. Bring sales, order trends, and menu performance into one view.

Analytics & Forecasting product concept

See the pattern.
Find the next question.

A week of activity becomes more useful when you can open a day and see what is behind it.

The Neighborhood Table

Your week, in view.

Weekly sales$8,096
Orders306
Average order$26.46
FridayFri
Sales$1,728Orders64Average order$27.00
40 pickup · 24 delivery

Pickup accounts for 63% of Friday’s orders.

Revenue definitions and source freshness depend on your setup. Forecasting is available on Pro; forecasts are planning estimates.

Made for the way your day actually works.

You know the feel of a busy service. Add a clearer view of the numbers behind it, so your next decision has more context.

A little help, where it counts.

Less to chase.
More in place.

01

Bring the numbers together.

Review supported revenue, order, guest, and operating trends.

02

Look beyond the busiest hour.

Use forecasts and confidence context as planning estimates.

03

Make the next decision clearer.

Investigate anomalies, menu performance, and guest cohorts.

Start with your setup

Let’s make sure it fits.

Pro adds forecasting, cost analysis, and menu engineering. Forecasts help planning; they are estimates.

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Frequently asked questions

Analytics & Forecasting FAQs

How to read the trends, understand the limits, and use the numbers in your next decision.

What can restaurant analytics show?

Restaurant analytics brings supported sales, order trends, and menu performance into one view. It helps operators spot changes and ask better questions before making the next menu or service decision.

Are KitchenRush forecasts guaranteed predictions?

No. Forecasts are planning estimates based on available data and assumptions; actual demand and operating conditions can differ.

How should an operator use an analytics dashboard?

Use it to spot changes, form questions, and investigate context. Important decisions should also consider source data quality and what was happening in the restaurant.

How often does restaurant analytics data refresh?

Refresh timing can differ by source and connection. The dashboard should make recency understandable, and operators should verify delayed or incomplete data before acting.

Can restaurant analytics definitions and reports be exported?

Confirm which data and definitions are available for export, the supported formats, date limits, permissions, and whether a report can be reproduced outside the dashboard.

Let’s make a little more room.

Your restaurant.
Its next chapter.

Start with what would make your day easier. We’ll take it from there.

Let’s talk about your restaurant