One layer for digital menu, ordering, payments and your existing POS. Live in 22 Čili Pizza locations today.
Fooodo connects the surfaces a guest sees with the systems that run your shift — so a price change, a new dish, a refund or a closing report all happen in one place and show up in the same numbers.
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A QR menu shows the food. Fooodo also handles the order, the payment, the kitchen ticket, the POS line, the closing report, and the data your team queries the next morning. One layer, one schema, one set of numbers — so the menu the guest sees is the same record your modules work from.
That's the difference between software a guest sees and software that runs your restaurant.
UVS · Restaurant operating layer
LiveWhy this matters
The cost line moves weekly. The data to react to it usually arrives a month late.
Industry-typical ranges · Deloitte and National Restaurant Association sector reports · for orientation, not benchmarks
When food, labor and operating costs each drift a percent or two against revenue, a typical operator's EBIT margin moves from healthy to break-evenbefore quarterly reports surface it. The decisions that matter — pricing, staffing, menu mix — have to happen on the same day the data does.
From decisions to profit
A new price, a shift change, a campaign — Fooodo records what changed, measures the result against forecast, and posts the EBIT impact next to the change itself.
Menu pricing
A category price change goes live.
Volume response and gross-margin contribution land in the same view as the change itself — so the operator can hold or roll back before the week is out.
Campaigns
A four-week lunch promotion runs.
Revenue is one number. Net EBIT after the labor it took to run the promotion is the one that matters — Fooodo posts both, against the forecast.
Staff schedule
A peak shift is right-sized.
Weekly EBIT impact alongside a service-quality signal, so the schedule change isn't a labor cut paid for at the table. Any employee-affecting move routes through human approval.
Menu sync
A new dish, deployed network-wide.
Edit once, ship to every location at once. Admin hours that used to be spent on per-location menu maintenance go back into the operating budget.
Modules · 3 families
The full module set runs in production at Čili Pizza. Operators can start with the guest-facing surfaces, layer in operations, and add growth modules when their POS feed is wired.
Guest experience
Operations
Growth
Fooodo Insights
Insights is the AI decision layer that sits above the operating layer. It explains EBIT, predicts how a change will land, and recommends the move — with your team in the loop on every step.
For chains: scale a decision across 22 locations in one approval. For single restaurants: catch the small drift before it eats the month. Every recommendation reviewed by a person before it runs — required by GDPR Article 22.
See Fooodo InsightsEBIT impact
GDPR Art. 22 · human approval required
Customer · Čili Pizza
Čili Pizza runs Fooodo across its full network in Lithuania and Latvia — guest ordering, payments, R-Keeper sync and chain-level reporting on the same stack.
profit improvement on covered shifts
measured Q3 2025 — Q1 2026
labor cost on the same revenue base
vs pre-rollout baseline
Frequently asked
No. The QR menu is one module of many. Fooodo's job is to be the operating layer — menu, ordering, payments, POS sync, kitchen flow, customer data and analytics — so guest-facing software and back-of-house systems share one record. A standalone QR menu is a small subset of that.
R-Keeper is live in production at 22 Čili Pizza locations. Toast, iiko, Square and Lightspeed integrations are scoped on the roadmap. Custom POS integrations follow the same connector pattern — see the developer docs.
No. Each module runs standalone. Most operators start with the guest-facing modules (digital menu, ordering, payments), then add operations (POS integration, real-time insights) once the data feed is established.
Any recommendation that would significantly affect employees — schedules, hours, performance flags — is held in an approval queue and requires a human reviewer before it takes effect. This is required by GDPR Article 22 and is a product principle, not an option. Customer-facing recommendations (menu price, upsell targeting) follow the operator's configured policy.
EU region, in line with GDPR. Customer transaction and behavioral data stays tenant-isolated; the AI advisor uses your data to answer your questions, not to train shared models. Architecture and security details are in the security documentation.
Per-location subscription with module tiers — guest experience, operations, growth. Single restaurants and developing chains have separate pricing tracks. Full breakdown on the pricing page or request a quote via demo.