Beauty and fitness
16 released templates. Each passed a check on test data; it is switched on in the panel by the director, and a person decides on every proposal. Example results are illustrative: the names and companies in them are made up.
Stylist booking
The problem it removes: Customers book through DMs in a jumble.
More detail
What it does: Offers the customer open slots with the right stylist from the schedule export and drafts a reply.
What a person decides: The final decision on the outcome.
For whom: Customer.
How to measure: Bookings with the requested stylist.
Example result: “Aliya has openings tomorrow at 15:00 or Friday at 12:00 — which works for you? Hair coloring with her takes about 2.5 hours, and we'll send a reminder the day before.”
Stylist portfolio
The problem it removes: The stylist's work isn't being shown.
More detail
What it does: Picks examples of work in response to a customer's question.
What a person decides: The final decision on the outcome.
For whom: Customer.
How to measure: Bookings after viewing work.
Example result: “Aliya does a lot of color on short hair — here are three of her September looks: a bob in cool blonde, a soft shatush on a short bob, and toning on a pixie. If one is close to what you have in mind, I can book you a free 15-minute consultation — when works for you?”
Membership freeze
The problem it removes: Membership freezes are tracked by hand.
More detail
What it does: Freezes memberships per the club rules.
What a person decides: Exceptions.
For whom: Customer.
How to measure: Renewals after a freeze.
Example result: “Per club rules, a membership can be frozen once for up to 14 days — you haven't used yours yet. Shall we set it from Monday, October 14, through October 27? All paid days are kept, and your membership end date moves by those 2 weeks.”
Fitness churn
The problem it removes: Members stop coming — then don't renew.
More detail
What it does: Notices a drop in visits and invites the member back.
What a person decides: The text.
For whom: Customer.
How to measure: Members who came back.
Example result: “Yerlan, we haven't seen you in a while! In October we added 7:00 am workouts — you once mentioned evenings are hard to make. Come try a free morning session with a trainer. Shall I book you for Thursday?”
Personal training
The problem it removes: Personal training doesn't sell well.
More detail
What it does: An offer built around the customer's goals.
What a person decides: The price.
For whom: Customer.
How to measure: Personal training sales.
Aftercare
The problem it removes: The customer doesn't know how to care for the result.
More detail
What it does: An aftercare memo.
What a person decides: The stylist approves the text.
For whom: Customer.
How to measure: Return visits; complaints.
Example result: “Aliya, thanks for visiting us! The stylist's aftercare tips for colored hair: don't wash your hair for two days, then use a sulfate-free shampoo so the color lasts longer. If your scalp gets irritated, message us right away.”
Rescheduling and cancellations
The problem it removes: A client writes “I won’t make it, can we move it?” while the front desk is busy — and the master’s slot goes to waste.
More detail
What it does: Tells the client how to reschedule or cancel per salon rules: how late it’s free, what happens to the deposit, and which slots to offer.
What a person decides: Exceptions to the rescheduling rules.
For whom: Customer.
How to measure: Slots refilled after rescheduling.
Membership that fits the client’s schedule
The problem it removes: A client asks “which membership should I get?”, receives the whole price list and goes away to think forever.
More detail
What it does: Uses the client’s request and the club’s rates to pick a membership for their schedule and goal: how often, what time, how much and what’s included.
What a person decides: Discounts and special terms.
For whom: Customer.
How to measure: Memberships sold from inquiries.
Master out sick: moving clients
The problem it removes: A master texts “I’m sick” in the morning with eight bookings — the front desk spends half a day calling clients.
More detail
What it does: Uses the sick master’s schedule and other masters’ open slots to suggest who moves to whom, who is rescheduled, and who to message first.
What a person decides: Moving a client to another master — with the client’s consent.
For whom: Salon front desk.
How to measure: Bookings saved when a master is sick.
Example result: “Action: message Aliya first — Zhanna can take her coloring, she’s free from 11:00; move Samal’s haircut to tomorrow. Effect: the day’s bookings are saved. Risk: Aliya may want only her own master. Rollback: the first slot with her master once she’s back.”
Time for a touch-up
The problem it removes: Clients come back for nails and lashes whenever they remember — or go to a master who reminded them on time.
More detail
What it does: Finds clients in the visit export whose touch-up or repeat procedure is due and drafts each a short reminder with a slot at their master.
What a person decides: The wording and who gets it.
For whom: Customer.
How to measure: Repeat visits on time.
Example result: “Kamila, it’s been three weeks since your lash extensions with Azhar — perfect time for a touch-up while they still hold their shape. Azhar has Thursday at 11:00 and Saturday at 15:00. Shall I book you?”
Masters’ day summary
The problem it removes: In the evening the salon owner doesn’t know which masters were busy, who had no-shows, or how much retail was sold.
More detail
What it does: Builds the owner’s day summary from the till and booking log: revenue by master, no-shows and cancellations, retail sales, and what to decide tomorrow.
What a person decides: Decisions about masters and schedules.
For whom: Salon owner.
How to measure: No-shows and idle masters.
2GIS review after a visit
The problem it removes: Happy clients say thanks in DMs, but the salon has few 2GIS reviews — and new clients pick the competition.
More detail
What it does: Replies to a client’s thank-you after a visit: thanks from the master and a short request to leave a 2GIS review — how to find the salon and what to do.
What a person decides: Whom to ask for a review.
For whom: Customer.
How to measure: New 2GIS reviews.
Example result: “Asel, thank you for the kind words — we passed them to Dinara, she’s delighted! If it’s not too much trouble, leave a couple of lines on 2GIS: find “Nur Studio” at 37 Turan Ave. and tap “Leave a review”. It helps others find us.”
Trial class: yoga and dance
The problem it removes: Beginners ask about a trial class, don’t get an answer right away — and never come.
More detail
What it does: Answers a beginner about a trial class at a yoga, dance or fitness studio: when the next one is, how much it costs, what to bring and how to sign up.
What a person decides: The right group for a beginner with health limitations.
For whom: Customer.
How to measure: Trial class attendance.
Spots in group classes
The problem it removes: Clients ask “is there a spot in the evening Zumba?”, and the front desk opens the spreadsheet every time.
More detail
What it does: Uses the group class schedule with open spots to tell the client whether there’s room in the class they want, and offers the nearest alternative if not.
What a person decides: Booking beyond the group limit.
For whom: Customer.
How to measure: Group bookings without a call.
Example result: “Gulnar, Thursday’s 19:00 Pilates is full. The same coach has Pilates on Friday at 18:00 with 3 spots left, and Saturday at 11:00. Shall I book Friday?”
Deposit for long procedures
The problem it removes: A client skipped a four-hour coloring — the master lost half a day, and nobody had mentioned a deposit.
More detail
What it does: Explains to the client why and how much deposit is needed for a long procedure, how to pay it, and whether it’s refunded on cancellation — per salon rules.
What a person decides: Refunding a deposit beyond the rules.
For whom: Customer.
How to measure: No-shows for long procedures.
Monthly reviews of masters
The problem it removes: Reviews of masters are scattered across 2GIS, Instagram and WhatsApp — the owner only sees the loud complaints.
More detail
What it does: Uses the month’s review export to show which masters are praised and for what, the most common complaints, and what to fix first.
What a person decides: Talking to the master and any measures.
For whom: Salon owner, manager.
How to measure: Average rating and repeat complaints.
Example result: “Situation: 34 reviews in September, average 2GIS rating 4.6. Key point: 4 of 5 complaints are about waiting over 20 minutes, all on Saturdays. Options: 1) stop back-to-back Saturday bookings — the wait goes away, but fewer bookings; 2) message clients about delays — cheap, but the cause stays. Recommendation: 1. Today: review the Saturday booking grid.”
Basis: product documentation; the platform code. This page describes what exists in this build, not what is planned.