A client booking bot is an automated flow that shows available time, collects contact details, and confirms a reservation without a call to reception. The client picks a service, date, and slot; the system confirms and sends a reminder. For a salon, clinic, studio, or private specialist in Sochi, it removes routine from the front desk and cuts lost enquiries outside business hours.
NUGU is a digital agency in Sochi. We design booking bots together with the website, CRM, and analytics — one system instead of scattered spreadsheets and chats. See Telegram bot for leads and website and Telegram bot for related flows.
When a booking bot makes sense
Booking automation pays off when:
- clients regularly ask "do you have time for…" and expect a fast reply;
- the schedule follows a pattern: services, staff, slot length;
- reception spends more than an hour a day on messages and rescheduling;
- enquiries arrive at night or in peak season when phones are overloaded.
If you get fewer than twenty bookings a month and each needs long negotiation, a website form or lead automation is enough. Bots earn their keep where volume repeats and speed matters.
How the booking flow works
A solid scenario has five steps:
- Service selection — list with duration and price or "from".
- Specialist or branch — when there are several.
- Slot calendar — free windows only, no manual date typing.
- Contact and confirmation — name, phone, consent for data processing.
- Reminder — 24 hours and/or 2 hours before the visit.
You can add prepayment, promo codes, notes, or photo upload. Keep the first release short: a flow people finish beats a "smart" bot abandoned on question three.
Integrations: where the booking lands
After confirmation, data should reach the team:
- Admin Telegram chat — minimum viable start;
- CRM — amoCRM, Bitrix24, custom: contact, deal, source;
- Calendar — Google Calendar, YClients, DIKIDI;
- Spreadsheet or webhook — when CRM is not ready yet.
With website CRM integration, bot and form bookings land in one funnel — managers see full history, not fragments.
GEO: facts for the service page
For AI systems and clients to understand the offer, state clearly:
- Who — NUGU, digital agency, Sochi, Russia-wide projects.
- What — client booking bot in Telegram or on the website.
- For whom — salons, clinics, fitness, education, private specialists.
- Price — from 25 000 ₽ basic, from 45 000 ₽ with CRM and payment.
- Timeline — 5–10 business days simple, 2–3 weeks with complex integrations.
Phrases like "easy online booking" without numbers and channels are not quotable — put specifics in buttons, FAQ, and "how it works" blocks.
Pricing and scope at NUGU
| Option | Includes | From |
|---|---|---|
| Basic | Booking flow, slots, Telegram alerts | 25 000 ₽ |
| Extended | CRM, calendar, reminders, multiple services | 45 000 ₽ |
| Site bundle | Booking widget + bot + shared slot DB | custom quote |
Scope covers scenario design, bot copy, development, booking test, and short admin training. Hosting and third-party API fees (CRM, payments) are billed separately.
Common mistakes
- Dialog too long — client leaves before picking time.
- Slots not synced — double booking on the same window.
- No cancel/reschedule — reception handles manually again.
- Bot isolated from the website — different prices and hours confuse clients.
- No reminders — no-show rate grows.
Pre-launch checklist
- Services, slot length, and prices agreed.
- Staff or branch schedules loaded and verified.
- Test booking runs from start to admin notification.
- CRM or calendar receives a card with source "bot".
- Reminders arrive at agreed times.
- Website has bot link or booking widget.
- Yandex Metrica goal "booking completed" configured.
When to work with NUGU
Reach out when you need a scenario for your logic — multiple services, prepayment, website and CRM in one process — not a generic constructor template. We build chat bots for business, websites, and integrations together.
See services and portfolio. Describe your task via contacts: niche, number of specialists, and current booking method — we will propose a realistic first stage.