Faster, more dependable website support — now with an actual chat instead of a form. 🚀

I built a Telegram Support Bot that turns every “Contact us” tap into a live thread routed straight to a shared team group. Any teammate can jump in with an immediate reply, the whole conversation is captured end-to-end, and customers get answers sooner—without adding another platform to your stack. 📈

How it runs (at a glance)

  • Client → Bot: When a visitor pings the bot, the message appears in a dedicated support group with a tidy header (name, ID, message text).
  • Team → Client: A staff member answers the forwarded message in the group; the bot echoes it back to the client and posts a delivery confirmation in the channel.
  • Logging: Both directions land in a lightweight store for auditing and reporting.

Behind the scenes (key details)

  • Runtime: Python with python-telegram-bot and async handlers.
  • Data: Slim SQLite tables track messages and delivery state, safely cross-referencing the group post with the client chat.
  • Routing: Reply mapping ensures responses stay tied to the originating client message—no stray broadcasts.
  • Resilience: Thoughtful rate-limit handling, idempotent update processing, and transparent error feedback in the support group.
  • Ops: Works with polling or webhooks and emits structured logs (timestamps, user IDs) for observability and quick analytics.
  • Privacy & security: Sensitive content stays private; tokens and IDs live in environment variables and never leak.

Why it matters

  • One inbox everyone can manage—inside Telegram.
  • Faster first responses and clearer ownership, all without switching tools.
  • Searchable history for QA, training, and product insights.

#Telegram #CustomerSupport #Automation #Python #SQLite #DevOps #SupportOps #Productivity