SERVO overview
MaxWay · running in 22 locations

Eleven modules. One kitchen, seen whole.

Every SERVO module in depth — what the camera sees, what the board shows, and what changes on the floor tonight.

11 modules+7.5% of revenue keptLive in 3 days
Live recording · uneditedMaxWay · Roison · Camera 02 · Entrance
01Guest Recognition0,31 sto recognise one guest

Pick a module to open its board.

Deep Dive

Eleven modules. One kitchen brain.

Seven of them are a real MaxWay recording: the frame, what the system read out of it at that second, and what it is worth a month. The other four are still drawings — and are labelled as drawings.

Live recording 7Drawing (model) 4
01 Guest recognition · entrance

Every guest known the second they walk in.

SERVO recognises each face at the door and estimates age and gender in 0.3s — the foundation every other insight is built on.

Live recording · uneditedMaxWay · Roison · Camera 02 · Entrance17.06.2026
0:00 / 0:17
One face: from capture to profile0.31 seconds
Face vector0.12Found in the base0.09Profile opened0.10

Guests stay nameless — each one is an FR number. No face image is stored; names exist only for staff.

What the system readEvery row below is the SERVO panel’s own output at that second of the recording. Click a row and the frame goes back to it.

Why it matters: The cameras are already on the ceiling. SERVO connects to that feed — no new hardware, no closing the floor.

The leak this module closes · module 01~1.5M UZS / mo1 location · 420 guests/day · 115k UZS average check — modelRun it on your own numbers
02 Customer segments · live

Newcomer, regular or VIP — sorted automatically.

Guests are clustered by how often they visit each month, so your team treats a first-timer and a VIP exactly as they should.

Live recording · uneditedMaxWay · network console · Loyalty segmentation05.05.20260.4×
0.0 s / 1.8 s

Guests stay nameless — each one is an FR number. No face image is stored; names exist only for staff.

What the system readEvery row below is the SERVO panel’s own output at that second of the recording. Click a row and the frame goes back to it.

Why it matters: Two guests in three are first-timers. If they do not come back, your footfall is a pipe, not a pool.

The leak this module works on · shared with another~1.5M UZS / mo1 location · 420 guests/day · 115k UZS average check — modelRun it on your own numbers
03 Customer traffic · footfall

See every guest who walks in, by the hour.

Live headcount turns your cameras into an accurate footfall counter — staff and stock follow real demand, not guesswork.

Live recording · uneditedMaxWay · network console · Hourly footfall05.05.20260.6×
0.0 s / 3.4 s
What the system readEvery row below is the SERVO panel’s own output at that second of the recording. Click a row and the frame goes back to it.

Why it matters: A daily total says nothing. Both the rota and the prep list are planned by the hour.

The leak this module closes · module 03~1.8M UZS / mo1 location · 420 guests/day · 115k UZS average check — modelRun it on your own numbers
04 Daily traffic · demographics

The whole day's flow — and who walked in.

An hour-by-hour traffic curve for the day, split by age group and gender — so you know not just how many came, but exactly who.

Live recording · uneditedMaxWay · Guest analytics · one branch, one day01.06.20260.75×
0.0 s / 5.6 s
What the system readEvery row below is the SERVO panel’s own output at that second of the recording. Click a row and the frame goes back to it.

Why it matters: Footfall stops being an estimate: people at the door are counted, not receipts at the till.

The leak this module works on · shared with another~1.8M UZS / mo1 location · 420 guests/day · 115k UZS average check — modelRun it on your own numbers
05 Table occupancy · floor

Know which tables are free, taken or waiting.

Real-time table status across the floor — seat guests faster, raise utilisation and turn more covers at peak.

Live recording · uneditedMaxWay · Roison · Camera 10 · Dining hall14.02.2026
0:00 / 0:28
What the system readEvery row below is the SERVO panel’s own output at that second of the recording. Click a row and the frame goes back to it.

Why it matters: Every table is its own object: when it was taken, how many sat down — all from one ceiling camera.

The leak this module closes · module 05~2.6M UZS / mo1 location · 420 guests/day · 115k UZS average check — modelRun it on your own numbers
06 Table heatmap · today

Which tables earn, which sit cold.

Every table is scored by how long it stays occupied through the day — hot and cold zones mapped so you can re-plan the floor for more covers.

Live recording · uneditedMaxWay · Roison · Camera 10 · Table status14.02.2026
0:00 / 0:28
What the system readEvery row below is the SERVO panel’s own output at that second of the recording. Click a row and the frame goes back to it.

Why it matters: The moment a table is taken the console confirms it and starts its timer — nobody marks anything by hand.

The leak this module closes · module 06~0.7M UZS / mo1 location · 420 guests/day · 115k UZS average check — modelRun it on your own numbers
07 Staff KPI · live

Every shift, scored — fairly.

Per-employee KPIs from camera and clock-in: punctuality, active time and service speed. Spot understaffed rushes and reward your real performers — objectively.

ModelThis module ships in the product, but the screen below is a drawing, not a recording. It will be replaced the day we have the footage.

The leak this module closes · module 07~3.8M UZS / mo1 location · 420 guests/day · 115k UZS average check — modelRun it on your own numbers
Team leaderboard · this shift
1DK
Dilnoza K.
Server · Floor
96
2AK
Aziz K.
Server · Window
91
3MR
Madina R.
Counter
87
4BT
Bobur T.
Runner
78
5SX
Sardor X.
Back · prep
64
+11%
Productivity
96%
On-time
2:40
Avg / table
83team KPI
Punctuality
Service speed
Order accuracy
Upsell rate
Back zone idle 12% · 19:00 rush
Move 1 runner to the floor for the dinner peak
08 Speed of Service · live queue

No customer waits. No till sits idle.

SERVO watches every queue and predicts a build-up before it happens — then tells the manager exactly when to open another till.

Live recording · uneditedMaxWay · Roison · Camera 09 · Till19.05.2026
0:00 / 1:25

Guests stay nameless — each one is an FR number. No face image is stored; names exist only for staff.

What the system readEvery row below is the SERVO panel’s own output at that second of the recording. Click a row and the frame goes back to it.

Why it matters: Everyone in the queue carries their own clock. The second a guest crosses the line, the till knows.

The leak this module works on · shared with another~2.4M UZS / mo1 location · 420 guests/day · 115k UZS average check — modelRun it on your own numbers
09 Cleanliness & Table Turn

Clean tables. Faster turns. More covers.

SERVO spots dirty or uncleared tables the moment a guest leaves and pings the nearest team member — so the next party is seated faster.

ModelThis module ships in the product, but the screen below is a drawing, not a recording. It will be replaced the day we have the footage.

The leak this module works on · shared with another~2.0M UZS / mo1 location · 420 guests/day · 115k UZS average check — modelRun it on your own numbers
Table-turn lifecycle · live
Vacated
Dirty
Cleaning
Ready
Table 7Dirty · detected 0:20 ago0:20
Table 12Cleaning · Aziz on the way0:45
Table 3Clean · ready to seat✓
2:10
Avg clear time
+8%
Peak covers
0
Missed tables
Acleanliness
Window zone
Center
Patio
Dirty table → nearest free hand
Auto-signalled the second a guest leaves — no one flags it
10 AI forecast · predictions

Tomorrow, next week, next month — predicted.

After six months of logs, SERVO forecasts how many guests will come and the revenue they will bring — for the next day, week and month — so you staff and stock ahead.

ModelThis module ships in the product, but the screen below is a drawing, not a recording. It will be replaced the day we have the footage.

The leak this module closes · module 10~1.5M UZS / mo1 location · 420 guests/day · 115k UZS average check — modelRun it on your own numbers
Demand forecast · trained on 6 months
today
History Forecast Confidence
±6%
Forecast error
6 mo
Training data
Daily
Auto-retrain
Tomorrow92% confidence
1,310guests≈ $9.4K
Next week88% confidence
9,200guests≈ $66K
Next month84% confidence
38Kguests≈ $0.27M
Staff +2 on Saturday 18:00
The forecast shows a +24% dinner spike — plan the rota and prep ahead
11 Module 11 · Safety

Fire and incidents

Fire, a fight, a fall, spilled liquid — did it happen or not. An unattended fryer too. The moment nobody saw now reaches the manager’s phone.

ModelThis module ships in the product, but the screen below is a drawing, not a recording. It will be replaced the day we have the footage.

Safety watch · live
Fire
A fall
A fight
Spilled liquid
Unattended fryer
Breach to alert0:10To the manager and owner
0:10
To the alert
24/7
Continuous watch
0
Extra staff needed
Before vs After AI

The same kitchen. Different numbers.

What a typical restaurant ran blind on — and what the same kitchen looks like with SERVO watching every station.

Operation
Without AI
With SERVO
What you gain
Guest recognitionFace ID at the door
Every guest a stranger
Known in 0.3s
Greet Gold guests by tier the moment they walk in
Customer segmentsNewcomer · Repeated · VIP
One offer for everyone
Auto-tiered by visits
Win back regulars · +23% VIP basket
Footfall & trafficBy hour, age & gender
Manual clicker counts
Every guest counted live
Roster & stock to real demand, by the hour
Table turnsFree · seated · dirty
Eyeballed by staff
Live floor map
Faster turns → +8% covers at peak
Speed of serviceOrder → table
Felt slow · no data
5:05 vs 9:00 target
Open a till before the queue forms → −20% walk-aways
Staff performancePer-employee KPIs
Gut feel & favourites
Camera + clock-in scored
Fair, objective KPIs → +11% productivity
Demand forecastTomorrow · week · month
Plan by guesswork
Predicted from 6-mo logs
Staff & prep ahead → less waste, no missed rush

Illustrative figures for a mid-size restaurant chain, modelled on Bayonic deployments and industry benchmarks. Actual results vary by format, location and baseline — we size your own numbers in the free pilot.

Multi-Branch Network

One platform. Every location.

Today you can't be in every kitchen at once. SERVO turns the cameras you own into a complete view of every shift, in every branch — rolled up to one screen.

Live recording · uneditedMaxWay · Branch comparison · network console05.05.20260.7×
0.0 s / 5.9 s
What the system readEvery row below is the SERVO panel’s own output at that second of the recording. Click a row and the frame goes back to it.

Why it matters: The recording shows 18 branches — it was made in May. The network runs 22 today, and it is still the same one screen.

ChilonzorYunusobodSamarqandAndijonSergeliBuxoroNamanganQo'qonBAYONICAI Core
Built for chains
Rank every branch, instantly
See your cleanest, fastest and most profitable kitchen — and your worst — today, in one screen.
Clone what works
Whatever makes your top branch win becomes the standard every other kitchen follows.
Fix it the same shift
A hygiene slip or a queue spike pings the manager now — not in next week's report.
Built for multi-branch networks: one private AI core per location, one live dashboard across the country — ready to roll out chain-wide from a single pilot.

Seen enough?

The overview has the profit gap, the calculator and the 3-day plan — or skip it and put SERVO on your own cameras for three days, free.