Flippi用大模型让电商购物对话更智能，精准推荐商品并比价。
Flippi: End To End GenAI Assistant for E-Commerce
- 基于大模型的端到端对话系统，理解用户自然语言需求。
- 支持比价和产品对比，提升用户决策效率与转化率。
- 适合电商客服、推荐系统优化人员参考。
随着对话式助手的兴起，用户与数字平台的交互方式发生了根本性变革。本文介绍Flippi——一款面向电商领域的端到端对话助手，基于大语言模型（LLMs），旨在应对海量且复杂的商品信息带来的挑战。通过自然语言对话，帮助用户高效发现商品，满足客观与主观双重需求，提供个性化购物体验。Flippi利用查询重写、意图识别、检索增强生成（RAG）、命名实体识别（NER）和上下文压缩等先进NLP技术，精准理解用户问题并返回准确商品信息。其独特能力在于识别并展示电商平台中最具吸引力的优惠，助力用户做出成本效益更高的决策。此外，系统具备对比分析功能，可协助用户比较产品特性、价格等关键属性。文章还阐述了系统的稳健架构设计，强调其在不同电商平台间的可扩展性及技术实现细节。最后，提出一套全面评估框架，涵盖性能指标、用户满意度以及对客户参与度和转化率的影响。Flippi将线上购物的便捷性与实体店的个性化服务相结合，为数字零售市场树立了客户满意度与参与度的新标准。
原文摘要 · Abstract (English)
The emergence of conversational assistants has fundamentally reshaped user interactions with digital platforms. This paper introduces Flippi-a cutting-edge, end-to-end conversational assistant powered by large language models (LLMs) and tailored for the e-commerce sector. Flippi addresses the challenges posed by the vast and often overwhelming product landscape, enabling customers to discover products more efficiently through natural language dialogue. By accommodating both objective and subjective user requirements, Flippi delivers a personalized shopping experience that surpasses traditional search methods. This paper details how Flippi interprets customer queries to provide precise product information, leveraging advanced NLP techniques such as Query Reformulation, Intent Detection, Retrieval-Augmented Generation (RAG), Named Entity Recognition (NER), and Context Reduction. Flippi's unique capability to identify and present the most attractive offers on an e-commerce site is also explored, demonstrating how it empowers users to make cost-effective decisions. Additionally, the paper discusses Flippi's comparative analysis features, which help users make informed choices by contrasting product features, prices, and other relevant attributes. The system's robust architecture is outlined, emphasizing its adaptability for integration across various e-commerce platforms and the technological choices underpinning its performance and accuracy. Finally, a comprehensive evaluation framework is presented, covering performance metrics, user satisfaction, and the impact on customer engagement and conversion rates. By bridging the convenience of online shopping with the personalized assistance traditionally found in physical stores, Flippi sets a new standard for customer satisfaction and engagement in the digital marketplace.
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