AI system for automating Telegram sales and client communications

Developed an AI-driven platform for automating communication with clients via Telegram, including AI bots, request processing, notifications, real-time statuses, and automated interaction scenarios.

The system included:
— Telegram bots for clients and operators;
— AI processing of incoming messages;
— automatic request distribution;
— real-time notifications and statuses;
— integrations with CRM/API;
— analytics and monitoring system;
— automation pipelines for handling client scenarios.

Special attention was given to:
— response speed;
— fault tolerance;
— low-latency architecture;
— scalability;
— stable operation under high load.

Results:
— significant reduction in manual workload for operators;
— acceleration of request processing;
— automation of routine communications;
— stable operation of real-time infrastructure;
— system readiness for scaling.

Technologies:
Node.js, Go, Telegram API, WebSockets, Redis, PostgreSQL, Docker, AI Integrations