#n8n otomasyon
#IoT veri analizi
#Google Gemini API
#Telegram bot
#MQTT entegrasyonu
#InfluxDB zaman serisi
2 min read
2774 views
Autonomous Customer Reporting System with n8n, IoT, Gemini AI & Telegram Bot
End-to-end architecture combining IoT telemetry data with n8n workflow orchestration, Google Gemini AI analytics, and Telegram Bot API to deliver automated daily and real-time smart reports to customers.
In industrial IoT and telemetry systems, one of the primary operational hurdles is transforming raw sensor readings into actionable intelligence for stakeholders. This post details an autonomous reporting engine combining n8n workflows, Google Gemini AI, and Telegram Bot API.
1. The Problem: Unprocessed Data & Communication Overhead
- ❌ **Dashboard Fatigue:** End clients rarely log in to inspect charts daily.
- ❌ **Manual Report Costs:** Support teams spend hours drafting Excel/PDF summaries.
- ❌ **Delayed Anomaly Action:** Pressure drops or leaks go unnoticed during off-hours.
2. 4-Layer Autonomous Architecture
1. Data Collection via IoT & MongoDB Time-Series.
2. Workflow Orchestration with n8n.
3. Automated Intelligence synthesis via Gemini AI.
4. Real-time delivery through custom Telegram bots.
typescript
const rawTelemetries = items[0].json.readings;
const prompt = `Analyze the last 24h IoT readings. Produce a concise, bulleted client report with consumption trends and anomaly flags.`;
return [{ json: { prompt } }];3. Results & Enterprise Value
Manual reporting overhead was slashed by 90% while proactive anomaly alert response dropped from hours to seconds.
