This n8n workflow automates the process of handling abandoned shopping carts by triggering personalized follow-up emails. When a visitor leaves an cart without purchasing, the workflow kicks in via a webhook. It processes and analyzes cart data by splitting text, generating embeddings with Cohere, and storing them in a Supabase vector database. The system employs OpenAI’s language models to interpret the context and craft a personalized message. It logs each attempt in Google Sheets for tracking and sends alerts through Slack if errors occur. This automation is ideal for eCommerce sites aiming to recover lost sales through targeted follow-up communications, leveraging AI and seamless integrations for an efficient marketing approach.
Automated Abandoned Cart Email Workflow
Node Count | 11 – 20 Nodes |
---|---|
Nodes Used | @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.embeddingsCohere, @n8n/n8n-nodes-langchain.lmChatOpenAi, @n8n/n8n-nodes-langchain.memoryBufferWindow, @n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter, @n8n/n8n-nodes-langchain.toolVectorStore, @n8n/n8n-nodes-langchain.vectorStoreSupabase, googleSheets, slack, stickyNote, webhook |
Reviews
There are no reviews yet.