Flippi: End To End GenAI Assistant for E-Commerce
Journal:
arXiv
Published Date:
Jul 8, 2025
Abstract
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.
