Live · R-Keeper + iiko + 1C, one AI

Analytics with AI.

Connect R-Keeper, iiko, and 1C in 24 hours. Ask in plain language — get numbers, charts, and recommendations with source references.

Restaurants · Bars · Spa & hammam · Hotel services — dish, service, retail item and rental in one dashboard

Get in touch See how the AI works →
goai · neural chat
Live sync
3 locations · 193k orders
Why did revenue at the Arbat location drop 14% on Thursday evening?
GM
AI

Found three causes, ranked by impact:

  • 01. Delivery: +42 min to prep time after 7 PM — couriers reassigned to Tverskaya (2-for-1 promo).
  • 02. 3 top-10 items out of stock (salmon, eel, tuna) — warehouse delivery delayed.
  • 03. Avg check −8% from the "−20% on rolls" promo — margin doesn't hold (verified).
Try asking:
24h
to connect
150+
real-time metrics
−14%
food cost on avg
0
manual exports
LIVE DEMO · AI SCAN

AI dissects your restaurant
from the inside.

Five zones · five findings · total upside

01 · Kitchen detected

Kitchen speed

7–9 PM: ticket times +14 min above norm. Cause — one cook on the hot line during peak flow.

trending_up +₽2.4M / year
→ Add a second cook at peak
02 · Cashier anomaly

Check deletions

3 cashiers delete 4× more checks than network average. Pattern: before shift close, without manager.

shield +₽1.1M / year
→ Enable manager confirmation
03 · Warehouse leak

Salmon write-offs

Quarter-to-date: 182 kg in the red. Orders are 18% above actual consumption; shelf life shorter than turnover.

inventory_2 +₽3.2M / year
→ Cut order by 18%, double frequency
04 · Delivery loss

Courier ETA

Average ETA 42 min vs. 30 promised. Refunds + comps: ₽148k/mo. Aggregator throttling traffic by rating.

delivery_dining +₽1.8M / year
→ +1 courier at peak, rebalance zones
NETWORK TOTAL

Upside +₽8.5M
per year.

Four recommendations — four days to roll out. AI tracks the impact in real time and sends a report after 30 days.

Get this audit for your chain →
AI accumulated +₽2.4M / year
SOURCES · 01

We connect to what you already have.

restaurant
R-Keeper
MSSQL + Storehouse
cloud_sync
iiko
Cloud API + MSSQL resto
account_balance
1C
UNF / Accounting
send
Telegram / Email
Auto-reports
api
REST API
Your BI / DWH
We handle hybrid POS fleets — some locations on R-Keeper, some on iiko — all in one dashboard.
ONE PRODUCT — MANY FORMATS

Restaurants —
and beyond.

One engine tracks revenue across four item types — dish → service → retail item → rental — so it fits more than restaurants. Venues of different formats live in one dashboard, no separate instance for each.

restaurant
Restaurants & delivery
Core focus
  • · Food cost, P&L, menu engineering
  • · Kitchen & courier speed
  • · Revenue & purchasing forecasts
local_bar
Bars & cafés
Drinks + kitchen
  • · Morning rush & serve speed
  • · Barista rating · food attach
  • · Milk, beans & syrup control
spa
Spa & hammam
Services + retail
  • · Treatment & service revenue
  • · Retail (shampoo, towels)
  • · Robe rental · staff KPIs
hotel
Hotel services
F&B + retail + rental
  • · On-site restaurants & bars
  • · Shop, souvenirs, rental
  • · Consolidated revenue by venue

On top of your POS (R-Keeper) — operational revenue, inventory and staff. For hotels we'll connect your PMS / management system and set up room-fund metrics (occupancy, ADR, RevPAR) for your format.

COFFEE SHOP PACK

A coffee shop lives
two hours a day.

The morning rush brings up to half of daily revenue — and that's exactly where money leaks: queues, slow hand-off, missed upsell. GoAi shows it in numbers for every location and every barista.

schedule
Peak hours

Load in 15-minute slots: orders at peak, orders per barista, and where hand-off slips past 5 minutes.

emoji_people
Barista rating

Pace, serve speed, average ticket and food-to-drink attach — see who's the star of the shift and who needs coaching.

coffee
Supply control

Milk, beans, cups and syrups: what should have left the stockroom per receipts — versus what actually did, against loss benchmarks.

add_circle
Add-ons & syrups

What share of orders comes with a syrup, alt milk or extra shot — the highest-margin pennies in the ticket, under control.

Enabled with the «Coffee shop» profile in a minute — no rollout, no separate product. Works for chains too: coffee locations see their view, restaurants see theirs.

PRODUCT · 02

One dashboard,
your whole network.

From network pulse to waterfall P&L. AI sits on top — a floating chat answers any question about your business data.

sync

Auto-sync

POS → cloud every 5 min. No Excel exports.

smart_toy

AI assistant

Ask in plain language. Get a chart and a recommendation.

insights

Forecasts

Revenue, purchasing, cash gaps — 7/30 days ahead.

notifications_active

Alerts & digests

Telegram/Email — morning to owner, evening to manager.

security

Fraud control

Deletions, discounts, shift anomalies — AI spots the patterns.

devices

Everywhere

Phone, tablet, browser. One URL, one account.

AI · 03

AI that knows your business.

A GPT engine trained on your data and industry domain knowledge — food cost, ABC, services, rental. Ask a question — get a number, a chart, and a recommendation.

Example questions
AI
goai · neural · 1.2s
Source: iiko + StoreHouse
Here's the P&L summary for three locations in April:
Tverskaya
₽4.8M
↑ +12.4% vs March
Arbat
₽3.2M
↓ −4.1% vs March
Mytishchi
₽2.7M
↑ +6.8% vs March
💡 Recommendation
Arbat is dragging the network down: food cost rose to 34% (norm 28%). Cause — salmon write-offs +38% vs March. I recommend cutting the order by 12% and running a 2+1 on the "Philadelphia" roll (margin holds).
REPORTS IN ACTION

Real
reports.

These are the actual product widgets on anonymized data (demo network, ₽). Switch the report and the period, hover the charts. No mockups.

Loading interactive reports…

The same report is available in-product for every location, period and category — drilling down to the item.

PREDICTIVE · 04

Predictive
analytics.

The model factors in weather, holidays, day of week, and local events. Revenue forecast error — under 7% at a 7-day horizon.

7 days
Revenue horizon
30 days
Purchasing forecast
±7%
Average MAPE error
24/7
Anomaly detector
Revenue forecast — network
Apr 20 — Apr 27
+8.2% vs last week
NOW
MonTueWedThuFriSatSun
warning
Anomaly: Sun Apr 26 — peak +34%. Plan +2 cooks and a courier at Tverskaya.
send
GoAi · Morning digest
Telegram · 09:00

🌅 Good morning! Yesterday's summary:

• Network revenue: ₽1.42M (+8%)

• Avg check: ₽1 820 (+3%)

• Food cost: 31.2% — check Arbat

• AI insight: order 12 kg more salmon — enough for 2 days

mail
Weekly P&L
Email · Mon, 08:00
PDF report with waterfall P&L, LFL, and an AI commentary — ready for the board.
AUTOMATION · 05

Digests and auto-reports.

Set it up once — the system sends the right cut to the right person. No dashboard needed. AI commentary instead of bare numbers.

  • schedule
    Morning digest — to the owner at 9 AM with key KPIs from yesterday
  • flash_on
    Real-time alerts — food cost above norm, revenue dips, excessive deletions
  • picture_as_pdf
    Weekly PDF P&L or on demand — ready for the board
  • group
    Roles — owner, manager, CFO: each gets their own digest
MODULES · 06

150+ metrics.
30+ sections.

Strategy, Operations, Services & Rental, AI & Communications, Security — plus 80+ AI tools under the hood.

Network pulse

All KPIs in real time

Waterfall P&L

Profit by driver

LFL

Like-for-like sales

Menu ABC

What drives profit

Delivery

Speed, couriers, ETA

Food cost

Cost per dish

Warehouse

Days of stock + write-offs

Menu engineering

Stars/dogs matrix

AI chat

Floating, on top of everything

Insights

Found automatically, unprompted

Forecast

Revenue, purchasing, shifts

Auto-reports

TG + email with commentary

Deletions

Who deletes checks, and why

Discounts

Margin vs. impact

Anomalies

Fraud patterns

Services & Retail

Treatment & retail revenue

Rental

Robes, gear, equipment

Tables

Occupancy & turnover

Bought together

Item pairs + upsell

Staff control

Risk index 0–100

Team potential

Upsell & revenue per employee

Categories

Tree with subcategories

Export to 1C

BGU / UNF, POS↔1C reconciliation

10+ more

Register, ratings, fill rate, speed…

TEAM · 07

One product — for every role.

01 · Owner

Owner

P&L in one click. Real profit across your network, no filters, from anywhere.

  • Profitability analysis
  • Cash-gap forecast
  • Morning AI summary
02 · Manager

General Manager

Real-time shift control, write-off control, and theft prevention.

  • Real-time plan vs. actual
  • Kitchen, courier speed, service load
  • Anomaly alerts
03 · Finance

CFO · Accountant

Automated reconciliation with Storehouse and transparent accounting of all financial flows.

  • POS ↔ 1C reconciliation
  • Export to 1C UNF
  • Monthly waterfall P&L
LAUNCH · 08

Launch in 24 hours.

01

Read-only access

You grant read-only access to R-Keeper / iiko / 1C. Everything encrypted, no writes.

02

Setup

We map your locations, menu, and staff. Dashboard — in your brand.

03

Live

Log in on browser or phone. AI chat, reports, digests — working from day one.

PRICING · 09

Pricing with no surprises.

Pay per active location. No hidden limits on AI queries.

Start
₽19k/mo
up to 3 locations · 1 POS
  • ✓ All 30+ sections
  • ✓ AI chat (GPT-4o)
  • ✓ Morning digest
  • — No API
Start
Popular
Pro
₽49k/mo
up to 15 locations · R-Keeper + iiko
  • ✓ Everything in Start
  • ✓ Predictive forecasts
  • ✓ 1C integration
  • ✓ Telegram bot + alerts
  • ✓ White-label
Go Pro
Enterprise
Custom
30+ locations · on-prem available
  • ✓ Everything in Pro
  • ✓ Dedicated manager
  • ✓ SLA 99.9%
  • ✓ On-premise / isolated environment
  • ✓ Custom models / fine-tune
Talk to us
FAQ · 10

Frequently asked.

What if some of my locations run R-Keeper and others iiko? expand_more

That's our main use case. Both POS systems map to a unified internal schema — you see both in one dashboard and can compare locations directly.

Does it fit a spa, hammam or hotel? expand_more

Yes. The engine tracks revenue not only by dishes but across four item types: dish, service, retail item and rental. For a spa or hotel that means treatment & service revenue, retail (shampoo, towels), robe rental and staff KPIs — on top of your R-Keeper, plus demand forecasting and abuse control. For hotels: we’ll connect your PMS / management system and set up room-fund metrics (occupancy, ADR, RevPAR) — analytics tailored to your format.

My venues are different formats — will they fit one dashboard? expand_more

Yes. Locations are classified by type (restaurant, bar, spa, retail, hotel service…) with cross-cutting filters — view the whole network or each format separately. One product for the entire chain, no separate instance per venue.

How safe is my data? expand_more

Read-only access. Data is encrypted in transit and at rest. On-prem deployment inside your perimeter is available — no byte leaves your network.

Is the AI just a ChatGPT wrapper? expand_more

No. The model runs on top of your DB through a semantic layer: it understands "food cost", "ABC", "LFL", and "deletions" as domain concepts, not words. That's why the numbers in answers match the dashboard.

How long does onboarding take? expand_more

24 hours from the moment access is granted. If you need 1C integration and a year of retro-ETL — add 1–2 more days.

Can I try it without a contract? expand_more

Yes — on request we grant access to a demo cabinet with synthetic data from a 3-location chain (193k orders, menu, shifts). Test AI and reports before connecting your own data.

CONTACT · 11

Ready to transform?

Leave a request — during business hours we'll call within an hour to schedule a demo.

schedule
Response
Within 1 hour
Mon–Fri, 10:00–20:00 MSK. Weekends — by email.
shield
Security
ReadOnly + encryption
Data stays inside your perimeter. On-prem available.