Tutorial - Build an E-Commerce Customer Support Agent Using RAGFlow

Currently, e-commerce retail platforms extensively use intelligent customer service systems to manage a wide range of user enquiries. However, traditional intelligent customer service often struggles to meet users’ increasingly complex and varied needs. For example, customers may require detailed comparisons of functionalities between different product models before making a purchase; they might be unable to use certain features due to losing the instruction manual; or, in the case of home products, they may need to arrange an on-site installation appointment through customer service.