# ✉️ SmartSupportAI – AI-Powered Email Support for OnlineStore

🧠 What I Built

SmartSupportAI is an intelligent customer support automation system for e-commerce platforms like OnlineStore, where users can send feedback or support queries via email — and receive a personalized, human-like AI response within seconds.

It uses Postmark's inbound email parsing feature to receive emails and triggers a webhook to:

• Log the email into a database
• Analyze the content with Gemini 2.0 Flash
• Classify and respond using AI
• Send a formal, contextual, and human-sounding reply using Nodemailer

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✨ Demo

📬 Send a feedback email to:

[email protected]

Example:

"I'm facing an issue placing a mobile order."

You'll get a smart reply like this:

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🔧 How It Works

Here’s the flow architecture:

1. User sends feedback to [email protected]
2. Email is auto-forwarded to Postmark Inbound
3. Postmark triggers a webhook to my Express server
4. Server logs the message in MongoDB
5. It checks if this message is a follow-up to a previous query
6. Sends the data to Gemini AI (2.0 Flash) for smart classification and response generation
7. The AI's response is sent back to the user using Nodemailer
8. All feedback and responses are stored for future context

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📦 GitHub Repository

👉 https://github.com/Jagadeesh961982/postmark

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🤖 AI Deep Dive

• Uses Gemini 2.0 Flash for generating formal, empathetic, and context-aware replies
• AI checks similarity with previous feedback (via prompt-based comparison)
• Example: If a user sends "I’m still facing payment issues", Gemini picks up the thread from the earlier conversation

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🧠 Postmark Integration

• Inbound email goes to a Postmark inbound stream
• Webhook forwards full structured data to Express
• Handles attachments, raw text, and reply chains
• Logs feedback in MongoDB for traceability

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🔐 Tech Stack

• Backend: Node.js + Express
• Email Inbound: Postmark Webhooks
• AI Engine: Gemini Flash via Google Generative AI API
• Email Outbound: Nodemailer with Gmail App Password
• Database: MongoDB with Mongoose

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💡 Why I Built It

Many customers still prefer to send support requests via email — especially older users or those in low-connectivity areas. Instead of forcing users into live chat bots or apps, this project turns traditional support mail into a fully automated yet human-sounding experience.

This also:

• Saves support time
• Offers consistent and structured replies
• Enables easy record-keeping for admins

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📈 Potential Use Cases

• E-commerce customer support
• SaaS support inbox
• HR feedback handling
• Complaint resolution bots
• Feedback-based AI analytics

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📣 Want to Try It?

✅ Just send a feedback email to:

📨 [email protected]

🧪 You’ll receive an AI-generated response like this:

Dear Customer,

We understand you're facing issues placing your mobile order...

Please provide the following details...

✅ AI decides if it’s a follow-up, and builds context-aware responses.

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🙌 Shoutout to Postmark

Postmark's inbound email parsing made this flow clean and reliable. Setting up inbound streams and webhooks was painless. And the structured payload helped feed AI models directly.

Huge thanks for this challenge — it pushed me to explore how email + AI can reinvent everyday support workflows.