Value to User’s Voice: A Generative AI Framework for Actionable Insights from Customer Reviews in Consumer Electronics (2024)

Abstract: Customer reviews are a valuable asset for businesses, especially in the competitive consumer electronics sector, where understanding user preferences and product performance is critical. However, extracting meaningful insights from these unstructured and often noisy reviews is a challenging task that typically requires significant manual effort. We present

## introduction customer reviews are a rich source of valuable insights, providing businesses with a window into user experiences, product preferences, and emerging trends @xcite . by understanding the customer perspective product managers can identify product strengths and weaknesses, prioritize feature development, and respond to user concerns effectively. this feedback is crucial for optimizing products, fostering innovation, and ensuring customer satisfaction @xcite . however, the sheer volume of reviews generated daily, coupled with their diversity in languages, platforms, and the ways customers express opinions poses a significant challenge. manual analysis is impractical due to the overwhelming amount of data, as well as the variability in language, slang, and sentiment nuances that make accurate interpretation difficult. consequently, automating the analysis of customer reviews is essential to unlock their full potential and generate actionable insights efficiently. ## methodology the v2u framework automates the transformation of unstructured customer reviews into actionable insights. this is achieved through two core components: the data enrichment module (dem) and the analytic dashboard ai module (adam). each module plays a vital role in processing, filtering, and extracting insights from large-scale customer datasets. ## conclusion the experiments and results demonstrate that the v2u framework performs comparably to gpt-4 in tasks such as attribute extraction, absa, summarization, and review ranking. additionally, v2u's scalability makes it a powerful and practical solution for business seeking to extract actionable insights from customer reviews. the system's ability to process large datasets with low latency and provide real-time insights underscores its value for consumer electronics companies.