WhatsApp RAG Customer Enquiry Agent for an Industrial Materials Supplier
WhatsApp agent built on n8n that answers customer product enquiries from the client's own documents using retrieval-augmented generation (RAG).
Business Challenge
An industrial materials supplier receives customer enquiries on WhatsApp about its products. Answering them by hand takes staff time, so the business needed a first-line responder that answers from its own product information rather than generic AI knowledge.
Solution Delivered
Built a WhatsApp agent on n8n using retrieval-augmented generation (RAG). The client's product documents are indexed, and each incoming WhatsApp message is matched against them so the language model answers from that material. Delivered as an ongoing engagement with the client.
Outcomes Achieved
Customers get answers to product enquiries on WhatsApp drawn from the client's own documents. The agent is maintained under an ongoing monthly engagement with the client.
Measurable Business Outcome
Customer product enquiries are answered automatically on WhatsApp from the client's own documents, reducing manual replies by staff.