Recall Notice Tracker Automates Recall Notifications

This n8n workflow is designed to automate the management and tracking of recall notices, streamlining how organizations process, analyze, and log recall information. It starts with a Webhook trigger that captures incoming recall notices, which can be sent via HTTP POST requests. The workflow then uses a text splitter node to divide large recall notices into manageable chunks for detailed analysis. These chunks are processed through OpenAI embeddings to generate vector representations for semantic search and retrieval.

The embeddings are stored in a Pinecone vector database, enabling efficient similarity searches for related recall notices or past incidents. Users can query this database to find relevant past recalls or related information, facilitated by a language model (Anthropic) which helps interpret and respond to queries. An agent node formulates responses based on the query analysis, and the entire interaction is logged into a Google Sheet for record-keeping.

This workflow is especially useful for organizations that need to quickly process and reference large volumes of recall notices, ensuring they have immediate access to relevant past notifications, improve their response strategies, and maintain comprehensive logs. It’s ideal for industry sectors such as manufacturing, consumer safety, and compliance management, where recall management is critical.