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arXiv · 2408.08925

Retail-GPT: leveraging Retrieval Augmented Generation (RAG) for building E-commerce Chat Assistants

Bruno Amaral Teixeira de Freitas·Roberto de Alencar Lotufo
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Abstract

This work presents Retail-GPT, an open-source RAG-based chatbot designed to enhance user engagement in retail e-commerce by guiding users through product recommendations and assisting with cart operations. The system is cross-platform and adaptable to various e-commerce domains, avoiding reliance on specific chat applications or commercial activities. Retail-GPT engages in human-like conversations, interprets user demands, checks product availability, and manages cart operations, aiming to serve as a virtual sales agent and test the viability of such assistants across different retail businesses.

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Bruno Amaral Teixeira de Freitas, Roberto de Alencar Lotufo. 2024-08-15. Retail-GPT: leveraging Retrieval Augmented Generation (RAG) for building E-commerce Chat Assistants. https://arxiv.org/abs/2408.08925

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