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Feature

Sales analytics that turn a shift into a decision

Stop running the restaurant on gut feel. See today's revenue, average order value, top sellers and peak hours updating as service runs, then dig into any date range to decide what to cook, staff and promote.

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Sales analytics

Today's revenue, average order value, top sellers and peak hours — updating as the service runs.

Stop guessing what sells. See revenue, order count, average order value, active orders and occupied tables at a glance, then dig into sales trends over any date range, top items by quantity and revenue, orders by hour of day, and how guests actually pay.

  • Revenue, order count and average order value
  • Sales trend over any date range
  • Top-selling items by quantity and revenue
  • Peak hours and payment-method breakdown
DinePilot owner dashboard with revenue, orders, average order value and a sales trend chart
Why this matters

Running a restaurant on gut feel is expensive guesswork

Most owners find out how a day went by counting the till at close, and find out what sells by remembering what they ran out of. That is a picture that arrives too late to act on and is too vague to trust.

Without real numbers you over-prep dishes that do not move and run out of the ones that do, you staff the wrong hours, and you keep tired items on the menu because nobody can prove they are not earning their place. Every one of those is margin you are handing back.

  • Over-prepping slow items and running out of the fast ones
  • Staffing built on a hunch about when the rush actually lands
  • Underperforming dishes kept on the menu with no evidence either way
  • A day's result you only learn when it is already over
How DinePilot solves it

The numbers, while you can still act on them

DinePilot turns every order into insight as it happens. At a glance you see revenue, order count, average order value, active orders and occupied tables — the pulse of the service in real time, not a report the next morning.

Then dig in: sales trends over any date range, your top items by both quantity and revenue, orders by hour of day, and how guests actually pay. It is the difference between guessing what to cook, staff and promote and knowing it.

How it works

Simple to set up, simple to run

No hardware to buy and no technical skills required — just a few steps to go live.

  1. 1

    Watch the live pulse

    The dashboard shows revenue, order count, average order value, active orders and occupied tables as the service runs.

  2. 2

    Pick a date range

    Look at today, this week or any custom range to see how revenue and orders trend over the period that matters.

  3. 3

    Find your top sellers

    See which items lead by quantity and which by revenue — often two different lists — to shape the menu and the prep.

  4. 4

    Read the rhythm

    Orders by hour of day show when the rush really lands, and the payment breakdown shows how guests prefer to pay.

Key benefits

What you get out of it

Decide, don't guess

Real revenue, order and average-order-value figures replace the hunch you used to run the floor on.

Staff the real rush

Orders by hour of day show when demand actually peaks, so you roster to the night rather than to a feeling.

Prep what sells

Top items by quantity and revenue tell you what to prep more of and what is quietly not earning its place.

Know how you get paid

The payment-method breakdown shows the cash, card and UPI split, so nothing about the day's takings is a surprise.

Compared with the usual way

Live analytics against counting the till at close

Not a competitor comparison — a comparison with the paper-and-shouting workflow most restaurants run today.

When you learn the result

Usually — At midnight, when nothing can be done about it.

With DinePilot — As the service runs, while there is still a shift left to change.

What sells

Usually — Whatever you remember running out of.

With DinePilot — Top items by quantity and by revenue — usually two different lists.

When you are busy

Usually — A feeling about which nights are heavy.

With DinePilot — Orders broken down by hour of day, so rostering matches real demand.

Average order value

Usually — Total divided by a rough count, occasionally, on paper.

With DinePilot — Live, alongside revenue and order count, without exporting anything.

Comparing periods

Usually — Two notebooks and a calculator.

With DinePilot — A sales trend over any date range you pick.

How guests pay

Usually — Whatever the cash drawer suggests.

With DinePilot — The cash, card and UPI split, taken from what was actually recorded at billing.

Who it's for

Who gets the most out of the numbers

It helps every dine-in restaurant, but these are the rooms where the difference is largest.

Owners deciding what to cut from the menu

Top items by quantity and by revenue is the pair of lists that ends the argument about which dishes are earning their place on the prep list.

Anyone rostering staff by feel

Orders by hour of day usually contradicts at least one thing everyone in the building believes about when the rush lands.

Restaurants with an absent or part-time owner

When you cannot be there every night, the live dashboard is how you know what kind of night it is before it is over.

Kitchens over-prepping into the bin

Prep built on what actually moved last week is the cheapest waste reduction available, and it needs no new system to act on.

Inside the app

See it in the product

Real screenshots from the DinePilot staff app — no mockups, no marketing renders.

  • DinePilot owner dashboard with revenue, orders, average order value and a sales trend chart

    Owner dashboard

  • DinePilot analytics showing top-selling items by quantity and revenue

    Top items

  • DinePilot analytics showing a sales trend chart over a date range

    Sales trend

On a real service

What it looks like on the floor

Three moments from an ordinary week, and what happens differently in each.

A slow Tuesday, 8pm

Revenue and order count are visibly behind the last few Tuesdays with two hours of service left. That is early enough to send a message out, push a table offer, or simply cut a shift short — decisions that are impossible when the number arrives at midnight.

Your best seller is not your best earner

The top item by quantity is a cheap starter everyone orders. The top item by revenue is a main that sells a third as often. Knowing both is what tells you which one to protect on the menu and which one to prep more of.

The rush is not when you thought

Orders by hour shows the peak landing at 8:30 rather than 7:30, and holding until 10. The roster was built for the wrong ninety minutes, and had been for a year, because nobody had a reason to question it.

Getting it right

Best practices and common mistakes

What the restaurants who get the most out of this do — and what trips up the ones who don't.

What works

  • Look at the live dashboard mid-service, not just at close. Its value is that there is still time to act on it.
  • Read both top-seller lists together. Quantity tells you what to prep; revenue tells you what to protect.
  • Compare like with like — a Saturday against Saturdays — using a custom date range rather than day against day.
  • Check the payment-method split monthly. A shifting cash-to-UPI ratio changes how much float you need on hand.
  • Record payment methods accurately at billing. Every number on this page is only as honest as the data entered upstream.

What to avoid

  • Reading a single day as a trend. One quiet Tuesday is weather; four is a pattern.
  • Cutting a dish on quantity alone. A low-volume, high-margin item can be earning more than a bestseller.
  • Rostering to total covers rather than to orders by hour. The same number of covers spread differently needs a different shift.
  • Assuming analytics is the owner's screen alone. A head chef who sees top items by quantity preps differently.

Why the numbers stay comparable

Every figure here is built from orders whose lines snapshotted their name and price at the moment they were placed, so a menu revision in March does not quietly rewrite what February earned. That is what makes a year-on-year comparison meaningful rather than decorative. Analytics is scoped to owners and managers — waiters, kitchen and cashier staff each land on the screen built for their own job — so opening the numbers up as the team grows is a role decision, not a data-export exercise.

FAQ

Questions, answered

Ask us anything else — we reply to every message.

Is the analytics data live?

Yes. Revenue, order count, average order value, active orders and occupied tables update as the service runs, so you are looking at the night as it happens, not a report the next morning.

Can I look at more than just today?

Yes. Alongside the live figures you can view sales trends over any date range — today, this week or a custom period — to see how the business is moving over time.

How does DinePilot show my best sellers?

By both quantity and revenue. The two lists are often different — a cheap high-volume item versus a pricier occasional one — and seeing both is what shapes prep and menu decisions.

Can I see when my busiest hours are?

Yes. Orders are broken down by hour of day, so you can see exactly when the rush lands and roster staff to match real demand.

Does it show how guests pay?

It does. The payment-method breakdown shows the split between cash, card and UPI, so the composition of the day's takings is clear at a glance.

Who can see the analytics?

Owners and managers. Analytics is part of the operations view, while waiters, kitchen and cashier staff each land on the screen built for their own job.

What is restaurant sales analytics software?

It is software that turns your orders and payments into numbers you can act on — revenue, average order value, top-selling items, busiest hours and how guests pay. DinePilot builds these from every order as service runs, so owners and managers see the day as it happens rather than counting the till at close.

Run your next service on autopilot

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