Retail-GPT: leveraging Retrieval Augmented Generation (RAG) for building E-commerce Chat Assistants
Fuente:
arXiv
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| Auteurs principaux: | , |
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| Format: | Preprint |
| Publié: |
2024
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| _version_ | 1866914914760654848 |
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| author | de Freitas, Bruno Amaral Teixeira Lotufo, Roberto de Alencar |
| author_facet | de Freitas, Bruno Amaral Teixeira Lotufo, Roberto de Alencar |
| contents | 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. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2408_08925 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | Retail-GPT: leveraging Retrieval Augmented Generation (RAG) for building E-commerce Chat Assistants de Freitas, Bruno Amaral Teixeira Lotufo, Roberto de Alencar Information Retrieval Artificial Intelligence Computation and Language Human-Computer Interaction 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. |
| title | Retail-GPT: leveraging Retrieval Augmented Generation (RAG) for building E-commerce Chat Assistants |
| topic | Information Retrieval Artificial Intelligence Computation and Language Human-Computer Interaction |
| url | https://arxiv.org/abs/2408.08925 |