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https://us2.make.com/public/shared-scenario/h93UQNXP27X/ai-powered-customer-inquiry-sorter-and-a
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This automation streamlines customer communication and internal coordination by automatically handling order-related emails.
When a customer sends an inquiry, the system classifies it, replies instantly with a personalized acknowledgment, records the details, and notifies the right team on Slack — all without any manual work.
It ensures every message is handled quickly, efficiently, and by the right department.
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The client’s support team was manually sorting through customer emails, crafting replies, and forwarding messages to the right department. This process often caused delays in communication and reduced overall team efficiency.
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<aside> 🚀
✅ Customer emails are automatically categorized and replied to.
✅ Processed data is neatly recorded in Google Sheets.
✅ Each department receives instant Slack notifications based on the issue type.
✅ Communication becomes faster, clearer, and better organized.
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<aside> 📈
| Impact Area | Description |
|---|---|
| ⏱️ Response Time | Reduced customer email response time from hours to seconds. |
| 🤖 Automation Level | Handles email classification, logging, and routing automatically. |
| 💬 Customer Satisfaction | Provides instant acknowledgment and faster support follow-up. |
| 👥 Team Coordination | Keeps all departments in sync through real-time Slack notifications. |
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<aside> 🖼️
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<aside> 💭
This project taught me how to use AI for intelligent email classification and contextual response generation. I learned how to route outputs dynamically based on categories and integrate them with real-time communication tools like Slack.
It also reinforced the importance of combining automation with personalization — ensuring that even AI-generated responses feel thoughtful and human while improving overall workflow efficiency.
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