CASE STUDY

Leveraging LLMs to Summarize Customer Reviews


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About The Client

A long-standing e-commerce platform that offers a diverse array of items wants to improve how they analyze customer reviews by streamlining the process of rapid and effective analysis, ultimately yielding practical observations to enhance both customer contentment and product range.

Industry | Retail

Solutions | LLMs, ChatGPT

Location | USA

Business Challenges

  • Numerous daily reviews due to numerous product listings that hinder manual analysis.
  • Manual analysis is labor-intensive and slow, causing issues identification and customer problem-solving delays.
  • Reviews that use informal language to complicate trend extraction and information comprehension.
  • Similar sentiments with differing ratings complicate the accurate assessment of overall customer satisfaction.

Business Solutions

  • LLMs to conquer review summarization hurdles.
  • An auto summarization bot with NLP.
  • Pre-trained models.
  • Text classification, review scoring, and entity recognition.
  • Valuable insights from unstructured customer feedback.

Key Outcomes

  • Real-time
     Grasp of consumer sentiment via faster review comprehension
  • Smooth
    Review processing heightened competitiveness
  • Concise
    Summaries provided actionable insights

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Leveraging LLMs to Summarize Customer Reviews


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