A scalable Telegram system for private sessions between customers and agents with strict privacy rules, plan-based limits, and automated session management.

A scalable Telegram system for private sessions between customers and agents with strict privacy rules, plan-based limits, and automated session management.
This Telegram solution was developed to enable private sessions between customers and agents without exposing their personal contact details. The system automatically creates working groups, bridges messages between participants in real time, expires sessions after 24 hours, and applies message limits based on the selected plan. The project architecture was designed for high load and a large number of simultaneous sessions. To handle Telegram’s group creation limits, a multi-account model using several Telegram accounts was implemented. The result was a secure and scalable communication solution for customer–agent interaction inside Telegram.
The goal was to enable secure communication between customers and agents inside Telegram without revealing personal contacts and without sacrificing convenience.
The main challenges included:
The project was built around privacy-first communication, resilient Telegram architecture, and scalability.
The final result was a secure Telegram communication system for customer–agent interaction that combines privacy, automation, and scalable backend logic.
Key solutions delivered:
The result was a reliable secure communication system that improved customer–agent interaction while eliminating the need to expose personal contact details.The project combined session management, privacy control, message routing, and Telegram automation into one infrastructure ready for high load, user growth, and future expansion.

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