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Automation Failure Diagnostic — Synthetic Sample. A self-directed, non-production example showing how I map one failing path, define an acceptance test, separate observed findings from inferred risks, rank the next repairs, and state exclusions and unknowns. It uses synthetic data and does not represent client work or production outcomes.
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AI Customer Notification & Order Processing System with n8n
I developed a complete AI-powered order processing workflow in n8n that automatically receives customer orders through a webhook, validates incoming data, stores the order in Google Sheets, sends confirmation emails, delivers Telegram notifications, and handles follow-up messages without manual intervention.
The workflow was designed to eliminate repetitive administrative tasks while ensuring customers receive immediate confirmations and businesses receive real-time notifications.
Problem
Businesses often spend valuable time manually recording orders, sending emails, updating spreadsheets, and notifying internal teams. This slows operations and increases the risk of human error.
Solution
I built an automated workflow that:
• Receives new orders instantly via Webhook
• Validates customer information
• Stores order details inside Google Sheets
• Sends branded Gmail confirmation emails
• Sends instant Telegram notifications
• Waits automatically before sending follow-up messages
• Reduces manual work and improves customer experience
Technologies Used
n8n
Webhooks
Google Sheets API
Gmail API
Telegram Bot API
JSON
API Integration
Workflow Automation
AI Automation
Skills
AI Automation
Workflow Automation
API Integration
Backend Automation
Business Process Automation
AI Coding
n8n Development
No-Code Automation
System Integration
Tags
#AIAutomation #n8n #WorkflowAutomation #APIs #GoogleSheets #TelegramBot #GmailAPI #Webhook #BusinessAutomation #AutomationEngineer #LowCode #BackendAutomation #AICoding #SystemIntegration #Developer🚀 🚀 🚀
This is great!
I built JugaadOS, a repair assistance platform designed for Tier-2 and Tier-3 cities in India. It helps users report repair problems, get an AI-assisted preliminary diagnosis, find verified local technicians, locate nearby spare parts through the Parts Pool, book repairs, track technician progress, and maintain a digital repair history.
The goal is to make the repair journey simpler, more transparent, and faster by connecting the problem, technician, and required spare part in one place.
deployment link = https://jugaad-j9o1a68jd-rahulkumar1311s-projects.vercel.app
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