etaya.ai
The product

Restaurant OS.
Every role. Every shift.

Eight interconnected layers running on one set of data about your restaurant. Not a suite of products. Not a dashboard to check. A system that sits inside the work.

What makes it an OS

The data flows between layers. That's the whole point.

The forecast that sizes your prep also sizes your labor, your orders, and your marketing send. The review that flags a slow ticket time also flags a kitchen station that's been under-staffed for three weeks. The menu item that's bleeding margin on DoorDash also gets repriced in the POS.

Nothing lives in isolation. Nothing needs a human to copy a number from one tool into another. That's the difference between a point tool and an operating system.

The layers

Eight layers.
One system.

Demand
For · Owner · GM · Chef

Know what's coming before it does.

Forecasts by hour, daypart, channel, weather, event, and season — trained on your actual history, not a benchmark. Every downstream decision (prep, labor, inventory) hangs off this.

Rolling 14-day forecast per channel
Event, weather, and holiday awareness
Locked accuracy reports every week
Revenue
For · Owner · GM

Price like you have a data team. Because you do.

Menu engineering, aggregator commission optimization, channel-specific pricing, promo math. The OS knows what every item costs you today and what it's worth on every channel.

Aggregator margin reclaim
Cost-aware menu repricing
Promo ROI, live and honest
Operations
For · GM · Owner

Ordering, labor, vendors — handled.

Inventory drafts itself off forecasted demand. Schedules build themselves off forecasted covers. Vendor orders go out on time and in the right quantities. Your manager approves — doesn't assemble.

Auto-built schedules, ready to edit
Vendor orders sized to forecast
Inventory drift flagged daily
Kitchen
For · Chef · Sous · KM

A brain behind the line.

Prep math by station and shift. Recipe cost tracked per ticket. Waste visible the moment it happens. Your chef spends the shift cooking and leading — not with a clipboard.

Prep sheets sized to forecast
Live recipe cost per plate
Waste tracked without extra steps
Front of House
For · GM · Servers · Host

Every shift starts informed.

Pre-shift briefs built from last night's data, today's reservations, known VIPs, and the 86 list. Service flows are tracked in the background — course pacing, table holds, recovery moments.

Pre-shift intel, not guesswork
Guest context at every table
Service pace, live
Reputation
For · GM · Owner

Every review, triaged. Every response, ready.

Google, Yelp, OpenTable, delivery platforms. The OS reads them, categorizes them, drafts responses in your voice, and surfaces patterns before they become trends.

Drafted responses, operator-reviewed
Pattern detection by shift and dish
Escalation for anything serious
Retention
For · Owner · Marketing

Guests come back. On purpose.

Lifecycle marketing that's actually restaurant-aware. Win-backs that know when someone last visited. Loyalty programs that speak to the specific guest, not the segment.

Guest-level lifecycle automation
Campaigns tied to covers, not impressions
Loyalty that reflects what they actually buy
Finance
For · Owner · CFO · Bookkeeper

Your P&L, live. Leaks, surfaced.

Daily reconciliation across POS, delivery, labor, vendors, and tips. The OS closes your books continuously — so the month-end meeting is a review, not a discovery.

Daily P&L, auto-reconciled
Anomaly alerts, not month-end surprises
Vendor spend drift, per category
What it sits on

Works with the stack you already run.

We connect to the tools you're already using — POS, scheduling, delivery, reviews, accounting. No rip and replace. No new hardware. No asking your team to learn another app on day one.

Toast
Square
Lightspeed
DoorDash
Uber Eats
Grubhub
OpenTable
Resy
7shifts
QuickBooks
Google Reviews
Yelp

+ POS APIs, open banking, and custom data sources on request.

See it in your shop

Walk through the OS on your actual data.

30 minutes. Your menu, your aggregators, your reviews. We'll show you where the money is — and what we'd do about it.