Restaurant Management Restolution analytics

Restaurant


Reads your Restolution back office and finds where margin leaks, in euros. Sales, purchasing and waste in one picture, with three ranked actions every week.

Portable technical infrastructure to any cloud.

A production-ready foundation designed to scale. Plug in pre-built modules for common workflows, or build your own on top.

Enterprise-grade from day one

Live from the first day, and portable later to any system. No vendor lock-in to Jourier: take the code, the schema and the models and run them yourself.

Hosted in Finland

Data and AI run in a Finnish data centre. UpCloud in Helsinki, and Mistral trained with CSC on the LUMI supercomputer in Kajaani.

Enterprise modular architecture

Scales to any level, from a new startup to a large enterprise. Build your own modules, or change the ones that ship.

The stack behind the unicorns

Talos Linux, Kubernetes and Cilium. GitOps deployments, a separate database per customer, automated security controls and self-healing.

Restaurant Management views

The views ship with the product

Connect your systems and they fill with your own numbers. There is no modelling project to sit through first.

Restaurant Management
One workspace over every system you connect.
Where it goes

Four leaks, and what each is measured against

Margin leaves in amounts too small to notice. A supplier raises a price four percent, a portion drifts, a campaign runs at a loss. Each is invisible alone and material by the end of the quarter.

  • Supplier price creepvs last quarter
  • Menu marginper dish
  • Wastein euros
  • Campaign marginvs baseline
  • Daily salesper location
  • Weekly actionsranked by value
What you get

In the product from day one

  • Daily sales and margin per location
  • Menu margin per dish
  • Supplier price creep against last quarter
  • Waste measured in euros
  • Three ranked actions every week
  • Campaign margin against baseline
  • Scheduled email reports
  • An AI analyst over your own back office
What it connects to

Restolution, and everything else you run

Access is arranged with Restolution. Its page describes what Jourier reads.

Restaurant Management API

One API over the back office and everything else

Jourier serves sales, purchasing and waste as modelled JSON on one endpoint, netted and reconciled so a margin figure in a report and a margin figure in a query agree.

  • Sales, purchases, articles and waste as first-class objects
  • Margin per dish, net of waste and discounts
  • Read-only against Restolution; nothing is written back
Your data, your query
# menu margin by dish, net of waste
GET /v1/restaurant/menu_margin?period=2026-08

{
  "as_of": "2026-08-16T06:12:00Z",
  "rows": [
    { "dish": "Burger", "sold": 1284,
      "margin_pct": 61.4, "waste_eur": 312 }
  ]
}
Restaurant Management MCP

Ask Claude where the margin went

Model Context Protocol is how an AI assistant calls a real tool instead of guessing. Jourier exposes your back office as MCP tools, so Claude answers from the sales and purchase records rather than from a plausible sentence about them.

Every answer resolves to rows you can open. The model retrieves; it does not compute the number, which is the only reason the answer is worth having.

  • Works with Claude Desktop, Cursor, and any MCP-compatible client
  • Scoped to what that user is allowed to see
  • Self-hosted models available, so your data never leaves the EU
Claude · jourier
You
Which dishes lost margin this
quarter, and on what input?

Claude
Three did, all on purchase price.
One supplier accounts for most of it.
Where the data lands

Restaurant Management data in the tool you already use

Each has its own setup page: what syncs, how often, and what the schema looks like on arrival.

Questions

Restaurant Management, answered

Does this work with anything other than Restolution?

Restolution has the connector today. Another back office is scoped as a build, the same way any system outside the catalog is.

How is waste measured?

In euros, against the articles it came from, so it sits beside margin rather than in a separate report nobody opens.

What are the weekly actions?

Three, ranked by what they are worth in euros. Ranking is the point: a list of twenty findings is a list nobody works through.

Does Jourier change anything in Restolution?

No. The connection is read-only.

Does it work across multiple locations?

Yes. Sales and margin are read per location, and the comparison between them is usually where the first real finding is.

Where is the data stored?

In Finland, on EU infrastructure, under EU law. The AI that reads it is self-hosted.

Can I run it on my own infrastructure?

Yes. It is standard Kubernetes built on open components.

Get started
Self-serve

Try the demo

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