NewFP&A Executive · Operational Sales

Find the outlet behind the number.

Start with the whole business, click a brand, click an outlet — then cut it by sales group, day part, day and hour. On your latest daily data, not at month-end.

  1. All brands+21.2%
    PortfolioS$3.73M

    Year to yesterday vs the same dates last year

  2. Brand−28.2%
    Nonna's KitchenS$564k

    One outlet closed; the rest down on customers

  3. Outlet−13.5%
    Nonna's Kitchen – BugisS$265k

    Fewer customers, each spending a little less

  4. Day part−13.6%
    DinnerS$132k

    The biggest change by day part

Demo data — the brands, outlets and figures are made up.

The problem

A healthy total can hide a struggling outlet.

Group sales are up on last year, so the month looks fine. But one brand is sliding, one outlet is losing its dinner trade, and nobody sees it until the month-end pack.

Averages hide the problem outlet. Finding it means pulling POS exports, lining up last year's dates and building the same pivot again.

Openings and closings blur the trend

A new outlet can mask a fall everywhere else. A closure can make healthy outlets look weak.

Fewer customers or smaller bills?

The fix is different, but a sales total alone can't tell you which.

Answers arrive at month-end

By the time the pack is out, the slow weeks are already behind you.

How it works

From the whole business to one hour, in a few clicks.

  1. 01

    The whole business

    Net sales, growth vs last year and same-store growth for every brand, on one page. Pick the period once — year, quarter or month to yesterday, or your own dates.

  2. 02

    One brand

    Net sales, receipts and AOV, for all outlets and same-store. A short read-out says how much came from closed outlets, outlets open both years, and new ones.

  3. 03

    One outlet

    Was it fewer customers or smaller bills? Which sales group — dine-in, takeaway, each delivery app — and which day part moved most?

  4. 04

    The day and the hour

    Sales by day of week and by hour against last year, and a grid of every day and day part showing where it's winning or losing.

Every figure is compared with the same dates last year. Same-store means outlets trading in both periods and still trading, so openings and closings don't blur the trend.

See it in VAL

What your team sees.

From every brand down to one outlet's day and hour, in VAL with demo data (about 30 seconds, no sound).
01

Every brand at a glance

Net sales, growth vs last year and same-store growth for each brand, and its share of the group. Click a brand to open it.

02

Why the brand moved

All outlets and same-store, side by side. The read-out splits the change into closed outlets, outlets open both years, and new ones — then the outlet table shows each one's biggest driver and any closed outlets.

03

Inside one outlet

Customers vs spend, the sales group and the day part that changed most. Click any row to narrow the whole page to it.

04

Down to the day and hour

Day of week, sales by hour against last year, and a grid of every day and day part — red where it's losing, green where it's winning.

Screens from VAL with demo data — the brands, outlets and figures are made up. Click a screen to enlarge it.

What feeds it

Your POS receipts — nothing new to key in.

Read from your POS

It reads the receipts your POS already records, outlet by outlet. It never changes them.

Every channel as its own group

Dine-in, takeaway and each delivery app show separately, as your POS records them.

As fresh as your feed

Where your feed runs daily, you see up to the latest day loaded, usually yesterday. Growth fills in once a full year of history is loaded.

Only have a daily collection report? A lighter version runs on it: net sales by brand, outlet, channel and day of week (no receipts, AOV or hours).

Revenue systems we already read

POS

  • AtlasAtlas
  • LightspeedLightspeed
  • Revel SystemsRevel Systems
  • TabSquareTabSquare
  • KoomiKoomi
  • ePointePoint
  • MegaPOSMegaPOS
  • RaptorRaptor
  • ViviPOSViviPOS
  • iMakaniMakan
  • APTSysAPTSys
  • SuntoyoSuntoyo
  • REACHREACH
  • NinjaOSNinjaOS
  • FnBeesFnBees
  • AigenAigen
  • AZ DigitalAZ Digital
  • AbacusAbacus

Online stores and marketplaces

  • ShopifyShopify
  • WooCommerceWooCommerce
  • ShopeeShopee
  • LazadaLazada

Delivery and ordering platforms

  • GrabGrab
  • foodpandafoodpanda
  • DeliverooDeliveroo
  • OddleOddle
  • YqueueYqueue
  • YindiiYindii

Looking at dishes rather than outlets?

See Product Sales →

See your own outlets.

We'll walk through the screener on a 30-minute call — then show you what yours would look like.