Automated Ticket Return Assignment System

This n8n workflow automates the process of managing return ticket assignments by integrating webhooks, AI language models, and database management tools. When a return ticket update is received via a webhook, the workflow processes the data through a series of steps including text splitting, embedding generation, and database querying and insertion. It utilizes Cohere’s embedding API to convert text into vector representations stored in a Supabase vector database, enabling efficient similarity searches. A language model (OpenAI) then analyzes the ticket details to determine the assignment status, which is logged into Google Sheets for record-keeping. Additionally, the system features error handling with Slack notifications to alert users of any issues. This workflow exemplifies a comprehensive, AI-powered approach to automate ticket management, improve response accuracy, and streamline ticket logging, ideal for customer support or logistics teams looking to enhance their operational efficiency.