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Wild Systems / Hospitality & food service

Every store's numbers. None of the spreadsheet nights.

In a multi-site food business the margin rarely leaks at the counter. It leaks after close: hours spent stitching POS exports into one spreadsheet, orders placed on gut feel, rosters built blind to what next week's trade usually does, and supplier invoices nobody has time to check. We build the private AI layer that pulls every store's trading, ordering and rostering into one picture, and keeps it on hardware you own.

The margin leaks after close, not at the counter

Ask anyone running more than one store where their week goes and the answer is rarely food or service. It is the Sunday night spent pulling reports out of the POS, store by store, and stitching them into a spreadsheet. The order placed on gut feel because the sales history was too much work to pull. The roster built without knowing what next Saturday usually does. The supplier invoice paid without anyone checking it against what was delivered, or what the same line cost last month. None of these is dramatic on its own. Across a group of stores and fifty-two weeks, they are the margin.

Underneath it, the information is split across systems that do not talk to each other. A POS in each store, an ordering portal, a rostering app, an accounting file, and a group picture that exists only if someone gives up their evening to build it.

What we build for food service operators

Every build sits on a private knowledge layer that unifies your trading, ordering, rostering and supplier information across every store and makes it instantly searchable. On top of that core, we build the capability costing you most:

  • One trading picture. Sales, labour and food cost pulled from every store's systems and consolidated overnight, so the group's week is on one page instead of in five exports.
  • Ordering that follows trade. Order suggestions drawn from what each store actually sold, with over-ordering and wastage surfaced instead of buried.
  • Rosters that match the forecast. Labour lined up against what each store's trade actually does by day and daypart, so a quiet Tuesday stops being staffed like a Saturday.
  • Supplier invoices, verified. Invoice lines reconciled against orders and deliveries, with price creep and short deliveries caught before payment instead of found at stocktake.
  • Compliance without the paper chase. Food safety records and audit evidence organised and standing ready, instead of living on clipboards in five kitchens.
  • Group intelligence. Which store, daypart and product earns best, and where the next hour of your attention returns most.

Because the build is self-hosted, your trading history, supplier pricing and wage data stays on hardware you own and never leaves your network. In a franchise system especially, that matters: your numbers are your negotiating position, and they should not live in someone else's cloud.

Built around your stack, including the parts you don't choose

Food service stacks are rarely chosen fresh. In a franchise, the POS and ordering systems are often set by the franchisor and are not up for debate. That is fine. We do not rip anything out. We build the layer that reads from what is already there, franchisor-locked or not, shaped around how your stores actually run, starting with a short discovery to find exactly where the hours and the margin are going.

What you'll see

A page, not a dashboard. This is the shape of what the system surfaces, drawn from the working demo with sample content.

Weekly picture · readySample content
Saturday trade was up at three stores, and labour ran ahead of it at two.
Consolidated overnight from every store's POS close and roster. No exports, no chasing store managers, no spreadsheet.
Cited: POS close reports, roster export Awaiting your review
The whole group's week, on one page. Sample content.

Example workflow: a trading week, from close to decisions

How the group picture stops depending on someone giving up their Sunday.

1

Stores close

Each store's POS finalises the day's trade, exactly as it already does.

2

The numbers land

Sales, labour and purchases are pulled from each store's systems overnight.

3

Checked on the way in

Supplier invoices are reconciled against orders and deliveries, and anything off is flagged.

4

The picture is drawn

Trade, labour and food cost by store and daypart, with anything unusual surfaced first, not buried in a tab.

5

Decisions, not data entry

Orders and rosters are adjusted off actual trade, and the spreadsheet hours go back into the stores.

See what the spreadsheet nights are costing.

The first conversation is thirty minutes, what's costing you most, and whether Wild Systems is the right answer.

Book a 30-minute diagnosis or email info@wildsystems.com.au