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The nightly restaurant brief

Find the signal before the next service

Turn restaurant sales, demand, menu, guest and booking data into clear metrics and a ranked set of AI-assisted findings.

Tapp’s analytics: the week’s revenue, a nightly insight that Tuesdays are running below their usual level, and a suggested 15% offer to lift them.

AI Analytics

Your figures, with the changes worth noticing.

Evidence, then interpretation

A useful answer starts with a trustworthy number

Tapp calculates the metrics first, keeps the source figures visible, and uses AI to help operators focus attention.

Empty bar and restaurant interior with wooden bar stools, a patterned tile floor and glass pendant lamps

Analytics

Last 7 days

  • Revenue & OrdersNet revenue£9,646.00
  • Demand & TimeOrders357
  • Menu & ProductsAvg basket size2.4Watch
  • Guests & RetentionRepeat guest rate31%
  • Bookings & CapacityBooking fill rate74.2%Action

Five connected domains

The night from more than one angle

Each area answers a different question an owner asks, while orders and service keep the whole picture connected.

Revenue & orders

Net revenue over any period with its trend, next to average order value, refund rate and realised orders.

Net revenue£9,646.00+6.4%Last 7 days

Demand & time

Peak hours by revenue and orders, service speed, and every weekday against its baseline.

Peak hours

Peak hour: 20:00

£640.0020:00 · 27 orders

See what sells best

Dishes and categories ranked by revenue or by transactions, with item velocity and menu engineering one step further.

Product mix

Top sellerSalmon poke bowl£1,840.00

  1. SPBSalmon poke bowl127 units sold£1,840.00
  2. BBBeef burger141 units sold£1,520.00
  3. CPBChicken poke bowl94 units sold£1,180.00
  4. HWHalloumi wrap80 units sold£760.00

Guests, bookings & capacity

Repeat guests, no-shows and cancellations, next to fill rate, lead time and RevPASH.

No-show rate

8.1%

5 no-shows · 62 eligible

Questions, not dashboard theatre

Start with what the operator needs to decide

The strongest insight shortens the path from a number to a sensible next question.

Weekday vs baseline

-14%Below baseline

When did the shift change?

Compare each weekday with its own baseline, and see which hours carry the revenue, before planning coverage.

Menu engineering

Popular and profitable.6 items

Which dishes earn their place?

Menu engineering sorts every item by popularity and margin into Stars, Plowhorses, Puzzles and Dogs. Until item costs are set, it works from revenue.

Booking fill rate

74.2%46 fulfilled · 62 slots

Where did capacity go unused?

Put booking fill rate, no-shows, lead time and table turn time in the context of actual service.

Insight from the system running service

Better context comes from connected workflows

Analytics can say more when the order, guest, booking and table session live in the same restaurant system.

  • Two guests at a restaurant table order while a waiter builds their order by voice on a phone running the Tapp POS

    Point of sale

    Every order and payment is the foundation of the revenue, order and menu metrics.

    Explore Point of sale
  • A restaurant floor seen from above: guests at wooden tables and a waiter walking between them

    Rooms & Tables

    Bookings and table sessions add fill rate, no-shows and table turn time.

    Explore Rooms & Tables
  • A café with a paper star lamp: a waiter in a white shirt and guests reading at their tables in warm light

    Promotions

    Every promotion gets a nightly impact read: a measured effect, or simply normal variation.

    Explore Promotions

AI Analytics questions

AI answers from our Help Center. Please don’t include personal or payment details.

Two hands hold an iPhone showing Tapp’s Sell screen: menu tiles, with two salmon poke bowls in the basket

Start tomorrow with a shorter question list

See which restaurant metrics and nightly insights are available for your Tapp setup.