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Case study 6 min read

How a beauty brand closed 3.2x more Telegram chats with AI agents

4 weeks from pilot to full rollout across 12 locations. Here is what we learned.

Product Team
MyChatBot
May 18, 2026

The before: a bot nobody finished talking to

The brand had a Telegram bot, but it was a button maze. Customers started a chat, hit a branch that did not fit, and abandoned it. Bookings still went through phone calls, the bot drove almost no revenue, and the team had quietly given up on it. The channel was there; the value was not.

A button maze nobody finishes vs an agent that just answers
A button maze nobody finishes vs an agent that just answers

Weeks 1-2: an agent on the bot

We replaced the menu logic with a MyChatBot sales agent: the service menu as a Product Spreadsheet, location hours and pricing in Business Domain docs. Now customers typed naturally, got real prices instantly, and booked into Google Calendar inside the chat, no phone tag, no dead branches.

Weeks 3-4: rollout to 12 locations

With the pilot converting, we cloned the agent for all 12 locations, each with its own calendar and pricing but one shared CRM. Every chat that showed intent became a tracked lead with a chat link, so head office finally saw which locations the bot was actually filling.

Where humans stepped in

Staff were freed, not replaced. Hand-off Control routed allergy questions, custom packages and complaints to a person via Flight Control, in Telegram, where the team already lived, with silent hand-off so the client never saw a switch. The agent ran the volume; staff handled judgment.

The result: 3.2x more closed chats

In four weeks the brand closed 3.2x more Telegram chats than before, with replies in seconds and bookings happening inside the bot. The dead button-maze became the busiest booking channel. The lesson: people will happily use a bot, once it stops behaving like one.

#telegram#casestudy#beauty
Product Team
MyChatBot

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