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Solution for the city · Bukhara

Telegram bot in Bukhara

A Telegram bot for business starts at $1,000 and launches in 2–4 weeks. A bot with catalogue and payments runs $1,500–2,500; an AI agent trained on your company knowledge and wired into CRM runs $1,500–3,500.

The Lab-i Hauz ensemble in Bukhara
The Lab-i Hauz ensemble in Bukhara.Photo: BeshevI · CC BY-SA 4.0 · Wikimedia Commons

Market context

2-е место

Source: отраслевые оценки, 2025

Uzbekistan ranks second worldwide by number of active Telegram channels, with daily views estimated at 1.3 billion. For a small business in Bukhara this is the cheapest way to stay reachable: a channel and a bot replace both an app and a call centre.

What it changes for you

In Bukhara a bot usually takes on first-line questions from tourists and clients: opening hours, prices, availability, how to get there. That relieves a small team where one person often combines sales and service.

What is included

  • Dialogue scenarios built around business tasks
  • Catalogue, cart and payment inside Telegram
  • AI answers grounded in your materials and policies
  • Enquiries delivered to CRM or a manager chat
  • Admin panel: broadcasts, statistics, editable answers

How the work runs

  1. 01

    Scenarios

    Frequent requests and the path to an order are mapped.

  2. 02

    Building the bot

    Menu, catalogue, forms and notifications implemented.

  3. 03

    Integrations

    Payments, CRM and the knowledge base for AI answers connected.

  4. 04

    Launch

    Tested on real conversations, admin panel handed over.

Frequent questions

Does a bot make sense for a small business?

It makes sense wherever the same questions repeat. If you get a dozen "how much" and "are you open today" messages a day, the bot answers them itself and you step in only where a deal is decided.

Who will update prices and schedules in the bot?

You do, through a normal spreadsheet or a simple panel — no developer needed. This matters: a bot with outdated prices does more harm than no bot, because the customer treats the quoted figure as a promise. So we make updating simple enough for the same person who answers messages today.