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Recognize these chats?
The data is in iiko — but by the time it’s compiled by hand, the money is already gone.
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Food cost — only after the inventory count
Cost of goods is calculated once a month. Ingredients got more expensive early in the month, and the menu kept selling at the old prices the whole time.
Managers
5 members
Why is October food cost 34%? It was 28 in September
10:04
Olga · accountant
We only calculated it after the inventory count — there was no way to do it earlier
10:21
Andrey · head chef
Beef and cream went up back on the 7th, and nobody recalculated the menu
10:23 -
Nobody sees overpayments to suppliers
Delivery notes are accepted in a rush and prices aren’t checked. The overpayment is found when the invoice has already been paid.
Purchasing
4 members
Who accepted delivery note 2417? Fryer oil at $14 instead of $2
16:40
Dmitry · warehouse
I accepted it, didn’t check the price — we were rushing to get ready for dinner
16:52
Kamila · accountant
Already paid. The supplier will only refund it as a credit
17:05 -
We find out about reviews and the shift plan last
Reviews are scattered across 2GIS and Yandex, and only the manager knows the day’s plan — the shift works blind.
Shift · Abay
14 members
Did you see the reviews on 2GIS? Three this week about slow service
11:15
Alina · manager
No, nobody checks there. We’ll reply today
11:32 Andrey · head chef
On Friday steaks took 25 minutes — the kitchen couldn’t keep up
11:40 Alina · manager
Does anyone know today’s plan?
11:41
The solution: an AI operations director
It collects the numbers from iiko on its own, cross-checks them, and shows where the money is going. The team gets ready-made insights — each person for their own tasks.
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Food cost
Inventory count → Recalculating in Excel → Result in a monthEvery day, by category
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Supplier prices
Check delivery notes → Spot price increases → The money is already goneAlert on the day of delivery
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Reviews
Open 2GIS → Open Yandex → Reply a week laterAll reviews in one place
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Shift plan
Calculate in the evening → Send to the chat → The shift is out of the loopGoal and ranking — at the register
We connect to iiko and your other systems in 1 day
Sales, inventory, and recipe cards from iiko — alongside your loyalty program, Instagram, ads, reviews, and your spreadsheets.
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iiko
Sales, checks, inventory, recipe cards, and staff.
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iiko Cloud and iikoCard
Delivery, stop lists, reservations, guests, and bonuses.
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Loyalty program
Guests, bonuses, and repeat visits — whether the program pays off.
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Instagram
Your account and competitors: followers, posts, and engagement.
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Ads on Instagram and Facebook
Spend, reach, and leads for each campaign — right next to your sales.
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2GIS
Reviews and rating of each location, by day.
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Yandex Maps
Reviews and rating of each location, by day.
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1C
Sales, stock, purchases, and cash.
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Google Sheets
Plans, payroll, and your own reference lists.
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Weather
Forecast and actuals for each location.
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Excel, CSV, PDF
Send a file right in the chat.
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Don’t see your system?
Message us and we’ll connect it. Exports and your own database work too.
20+ ready-made widgets — and any new ones from a description
Food cost, sales by kitchen station, supplier prices, reviews — they work right after you connect iiko. Need your own? Describe it in words, and AI will build it in a couple of minutes.
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Food cost by category Based on recipe cards and actual sales — without waiting for the inventory count. -
Ingredient price increases What got more expensive this month and which delivery notes show a price out of line with the usual. -
Reviews 2GIS and Yandex in one place: rating, negative reviews, and unanswered reviews. -
Day pulse Revenue by hour, checks, average check, and food cost for the shift. -
Revenue by station Kitchen, bar, pizza, pastry — each station’s contribution. -
Stop list What’s on stop, for how many days, and how often that dish is ordered. -
Top 10 dishes What sells best and what share of revenue it brings.
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Your own dashboard
Describe your job, get your own dashboard
On first login, AI briefly asks what the employee does and suggests a dashboard with the metrics they need.
- For the chef — food cost, ingredient prices, serving time, and the stop list
- For the manager — plan, discounts, and hourly load
- Add any metric of your own just by describing it
9:41≡+AI analyst
Intro · 1 minute
AI analyst 09:12Hi, Andrey! Tell me in a few words what you do, and I’ll build a dashboard for your work.
I’m a head chef: kitchen, purchasing, and dish costs
AI analyst 09:13Here’s a head chef dashboard I suggest — the data is already in iiko:
Head chef dashboard 4 widgets
- Food cost by category
- Ingredient price increases
- Dish serving time
- Stop list
Build dashboard + Custom metricAsk about your business…↑ -
AI chat
An answer to any question about your restaurant
Ask by text or voice — AI finds the numbers in iiko, delivery notes, and reviews on its own and explains what happened.
- A second agent double-checks every answer
- You can see exactly how it was calculated
- Keep digging in one tap: by location, dish, or supplier
9:41≡+AI analyst
Abay restaurant · iiko data
Why did salad food cost go up?
AI analyst 14:22Cream (+20.6%) and mozzarella (+16.2%) got more expensive. Salad food cost is 31.2% vs. 27.9% in September. The biggest jump was in the “Chicken Caesar.”
Salad food cost by week +3.3 pp
SeptemberOctober
Continue the analysis
Which dishes should be recalculated?Continue the analysis
Compare cream suppliersAsk about your business…↑ -
Reports
The report arrives on its own — a personal one for each person
A push notification when the issue is ready. The report swipes like stories and exports to PDF. You can adjust it in plain words.
- For the owner — a morning summary across all locations: revenue, food cost, what changed and why
- For the manager — an evening shift summary: plan, cancellations, discounts, hourly load
- For the head chef — a weekly breakdown of cost of goods and ingredients that got more expensive
- For the marketer — reviews, rating, and the impact of promotions
Daily report PDF × Ingredient price increasesMeat and dairy got more expensive this month
+22.5%
beef, $14 → $17
Cream $3 → $4, salmon $20 → $23, mozzarella +16.2%. September vs. October.
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⌃ Customize with AI
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Notifications
An alert while there’s still time to fix the problem
The service tracks the key metrics and messages the responsible person right away when a number drifts from the norm — not in the month-end results.
- Each person gets their own area: the manager gets their location, the chef gets the kitchen
- Root-cause breakdown in one tap
Friday, October 30
14:20
Potential loss · discounts
Discounts given today are twice the usual amount — already $173 over the norm.
Revenue below normal
By 2:00 PM, revenue is 24% below the average Friday. Business lunches dipped.
Salad food cost went up
31.2% — above the norm. Cream and mozzarella got more expensive.
Empowering frontline staff
Cooks and servers see their numbers right at their workstation: after 10 seconds of inactivity, the kitchen monitor or the register shows widgets on its own.
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Kitchen: sous-chef monitor in real time
Which dishes take longer than normal — by dish and station, while the shift is still going.
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Register: “Shift League” in real time
Server leaderboard and shift goal — the team competes for upsells.
400+ businesses have already strengthened their teams with
Chains that already run on data — and their reviews.
How much does it cost?
The price depends on the number of locations in your chain. Write to us — we’ll quote a price after a short conversation about your needs.
What do I need to connect?
The address of your iiko server and a dedicated user with read-only permissions. Our managers will help with everything else during setup.
What data do you pull from iiko?
Sales, checks and payments, delivery, inventory and stock levels, recipe cards and cost of goods, employees and shifts, delivery notes, write-offs and transfers. From iiko Cloud — stop lists and reservations; from iikoCard — guests and bonuses.
Does it work for a chain with several legal entities and servers?
Yes. All locations are in one app, and access is set per location: a manager sees their own, the owner sees the whole chain.
How often is the data updated?
Sales are pulled in throughout the day, open orders in real time. History for past periods is loaded when you connect.
Do we need to train employees?
You don’t. From day one, AI analyzes data based on each employee’s role and gives hints on its own, and within a week of connecting we provide free training for the whole team. Support is available 24/7 for any questions.