Automated Customer Support System is an intelligent workflow built with n8n that streamlines how customer queries are captured, acknowledged, and routed to the right team. This project demonstrates how automation reduces manual effort, improves response times, and ensures no customer request is overlooked.
The company needed a faster and more reliable way to handle customer support requests. Manually tracking form submissions, replying to users, and sharing data with the support team was slow, error-prone, and inconsistent.
I designed and implemented an end-to-end automation with four key steps:
Users submit their details (fullname, email, phone number, product type, and message) through the form. This data is the starting point of the automation.
All form submissions are automatically stored in a Google Sheet for record-keeping and analysis.
The user instantly receives a personalized acknowledgment email confirming their issue has been received.
A message is sent to the customer support Slack channel, giving the support team immediate access to the user's query.
This part of the workflow was the most challenging, because Slack requires more advanced setup compared to Sheets or Gmail.
chat:write, channels:join, users:read), and went through the OAuth flow to generate a secure token.
Learning: This process helped me strengthen my knowledge of OAuth 2.0 authentication, Slack's permission model, and real-world debugging of third-party API integrations.
This project showcases how I leverage automation tools like n8n to design business-ready solutions that save time, reduce costs, and improve customer experience. It also reflects my ability to troubleshoot and implement complex integrations.
If you're looking to automate repetitive processes in your business and improve team efficiency, I can help design and implement workflows tailored to your needs. You can book a consultation with me to discuss your requirements in detail. My LinkedIn profile is also available for more information about me.