Booking is not the fact
A client may be late, not arrive, wait for the receptionist or start the service later than scheduled.
STATANLY BEAUTY ANALYTICS
AI platform for beauty salons, hair salons and barbershops
Cameras, events, evidence frames and KPIs for appointments, arrivals, stylist workload, waiting time, service standards, product shelves and safety.
24/7events, frames and reports without manual archive review
Bookingarrival, delays, no-show and disputed cases
Stylistschair occupancy, service duration and shift workload
Waitingwaiting area, peak hours and service SLA
RTSPconnection to existing IP cameras, VMS and NVR
BIreports by branches, stylists, zones and customer journey
Why salons need computer vision
Many salon losses are operational and invisible in CRM
A booking system shows the plan, but it does not always show actual arrival, waiting, stylist workload, idle time, service standards and causes of disputes.
Uneven stylist workload
Some workstations are overloaded while others sit idle, and management sees the issue only at the end of the day.
Waiting hurts the customer journey
Peak hours, reception delays and waiting area queues directly affect repeat visits.
Service is hard to audit from memory
Events and frames are needed: greeting, consultation, zone order, disputed case and safety.
Core AI modules
What can be controlled in a salon and branch network
Modules can be launched step by step: first traffic and waiting, then stylist workload, service standards, retail shelves, safety and a single control center.
Client arrivalBooking and reception
Booked visits, walk-ins, receptionist waiting time, disputed cases and evidence frames.
Chairs and stylistsWorkstations
Chair occupancy, service duration, idle time, overload and actual shift workload.
Waiting areaWaiting
Queue length, waiting time, peak hours, area overload and customer journey.
Service standardsStaff
Presence, work zone, client greeting, phone use, service sequence and shift discipline.
Post-service salesRetail shelf
Shelf interest, consultation, empty spots, display quality and link to stylist recommendations.
Incidents and risksSafety
Fire, smoke, wet floor, unattended objects, conflict cases and notifications.
Salon networkControl center
Dashboards by branches, stylists, zones, waiting time, events, sales and KPIs.
Scenarios
From client arrival to repeat visit
The page focuses on operational use cases: what happens on the floor, how fast clients are served, where waiting, idle time and disputes appear.
Client arrival frames and reception events
Reception
Booking, actual arrival and disputed cases
The system compares entrance and reception traffic with the schedule: who arrived on time, who was late, who is waiting for the receptionist and where a disputed case appeared.
This shows not just a CRM slot but the real customer journey: entrance, greeting, waiting, service start and visit completion.
- booked visits and walk-ins
- late arrival, no-show and reschedule
- receptionist waiting time
- frames for claim review
Chair and stylist workstation workload
Workstations
Stylist, chair and service-zone workload
Video analytics shows which chairs are occupied, where a client is already being served, where a stylist is waiting for the next client and where a service runs longer than expected.
For a chain this is especially useful: branches can be compared by actual workstation workload rather than subjective reports.
- chair and wash-zone occupancy
- service duration by stage
- idle time and shift overload
- comparison of stylists and branches
Waiting area and customer flow
Waiting
Queue, peak hours and service SLA
In salons waiting may look like a small issue, but it directly affects repeat visits and customer ratings. The system records queue length, waiting-zone overload and time before service starts.
Notifications help the receptionist redistribute the flow, warn the client or involve an available stylist in time.
- queue length and waiting time
- waiting area overload
- peak hours and SLA
- notifications for receptionist
Salon staff and standards control
Staff
Service standards and shift discipline
The module does not replace the manager, but provides facts: who is in the work zone, how clients are greeted, when a workstation is left unattended and where the process order is broken.
This is useful for training, internal control and objective review of disputed cases without watching hours of video.
- presence in the work zone
- client greeting and service start
- phone and distraction rules
- frames for staff training
Product shelf and customer interest
Retail shelf
Add-on sales and product interest
In salons a meaningful part of margin can come from care products. The system shows which shelves attract attention, where consultation is needed and which zones underperform.
Data can be compared with stylist recommendations and actual sales to improve display and team training.
- interest in shelves and zones
- empty spots and display quality
- consultation near product shelf
- link with sales and recommendations
Safety and incidents in a salon
Safety
Fire, smoke, risks and evidence frames
A salon includes chemicals, electrical devices, hot tools, water near wash stations and dense customer traffic. Safety is therefore not a secondary scenario.
The system detects early signs of fire and smoke, wet floors, unattended objects, conflicts and other events that require fast notifications.
- fire, smoke and hazardous zones
- wet floor and fall risk
- unattended objects
- conflicts and disputed cases
Single control center for a salon chain
Control center
Salon chain in one control window
For a chain it is important to see not separate cameras but comparable metrics: traffic, waiting, stylist workload, reception work, events, shelf sales and safety for every branch.
Dashboards help find best practices, weak points and branches that need training, shift reinforcement or schedule changes.
- KPIs by branch and shift
- stylist workload comparison
- events and evidence frames
- export to BI and reports
Impact
What we measure in the pilot
In the pilot we connect several zones and capture baseline values: waiting time, stylist workload, idle time, events and customer journey quality.
For whom
One control layer for receptionist, manager and chain
Each role sees its events: queue, booking, stylists, customer journey, service, retail shelf, safety and reports.
Receptionist
- arrival, waiting and late clients
- peak load and available stylist
- fast jump to camera and event
Stylist
- service stages and duration
- idle time and shift overload
- frames for training and review
Manager
- waiting SLA and service quality
- retail shelf and sales standards
- incidents, notifications and archive
Salon chain
- branch and shift comparison
- KPIs, BI, reports and trends
- shared event and notification rules
Integrations
Works on top of existing infrastructure
No need to replace video surveillance. Scenarios can connect to existing IP cameras, VMS, booking CRM, BI and notification channels.
IP cameras and VMS
RTSP/ONVIF, NVR/VMS, edge or server processing, work with already installed cameras.
CRM and booking
Matching actual arrival, waiting and service start with the schedule and client record.
Notifications
Events for receptionist, manager, security and network team via interface, email, Telegram or webhook.
BI and reports
Export metrics by branches, stylists, zones, waiting time, retail shelf, events and safety.
We will design a pilot for a salon, barbershop or branch network
We start with the camera map, zones, booking CRM and key scenarios. Then we launch 3–5 modules, capture baseline metrics and keep only what produces measurable value.