Blog Article
AI x CRM
Customer Analysis
Proprietary AI

Transform Customer Feedback Analysis with AI

Arthur Cohen
February 25, 2025

Revolutionizing Customer Feedback Analysis with AI and NLP

In a world where the quality of customer experience has become a decisive factor for 73% of consumers (PwC), businesses must double their efforts to understand and meet customer expectations.

Despite the proliferation of feedback channels—review platforms, social media, emails, or live chats—effectively utilizing this data remains a challenge.

How can thousands of verbatims be transformed into actionable insights? This is where artificial intelligence (AI), and more specifically natural language processing (NLP) models, come into play. In just minutes, these tools can clarify customer feedback, detect key trends, and provide an accurate understanding of customer expectations.

The impact of effective customer feedback management

  • 80% of companies use customer satisfaction scores to analyze and improve the customer experience (Harvard Business Review).
  • 2/3 of business leaders report that AI investments in customer service lead to significant performance improvements
  • 25%: increase in profitability results from just a 5% improvement in customer retention.
  • 91% of customers dissatisfied with a brand will simply leave without complaining (Kolski).

The limits of traditional methods

Before the advent of AI, businesses attempted to decode the Voice of the Customer using manual analysis or basic tools:

  • Global score analysis: Monitoring the evolution of reviews on platforms like Google Reviews or Trustpilot.
  • General trend studies: Identifying the volume of feedback or the average sentiment expressed in reviews.

These methods provided a limited overview and came with several pitfalls:

  1. Fake reviews and spam: Pollute the data and distort results.
  2. Time-consuming analysis: Reading every comment becomes unrealistic when the volume exceeds a few hundred.
  3. Biased focus: Teams may concentrate on standout feedback that isn't representative of overall trends.

How AI redefines customer feedback analysis

Artificial intelligence revolutionizes the game by providing automated, precise solutions for analyzing customer feedback. Advanced natural language processing models can:

  • Filter out noise: Isolate relevant feedback by eliminating spam and non-useful content.
  • Categorize reviews: Group comments by themes (e.g., "delivery times," "product quality").
  • Analyze sentiment: Identify emotions behind each comment (positive, negative, neutral).
  • Quickly synthesize data: Deliver clear and actionable insights without human intervention.

Discover how Glanceable measures customer satisfaction >

Customer experience improvement: Délice Express transformed by AI

Let’s take the example of Délice Express, a fictional meal delivery company. Facing thousands of verbatims, they decided to adopt an AI solution to better understand their customer experience. Here’s the process they followed:

1. Collect All Customer Feedback

  • Customer emails: reviews sent directly by clients.
  • Live chat: conversations on the company's website.
  • Social media: comments and messages on platforms like Facebook and Twitter
  • Review platforms: published reviews on sites like Yelp and Google Reviews.

2. "Clean" the Data

  • To prepare reviews for analysis, special characters, emojis and other miscellaneous characters are removed, while the text is standardized by changing it entirely to lowercase.

3. Divide Reviews into Segments for Better Thematic Analysis

  • Each review is divided into segments or sentences to facilitate further analysis. For example, a review such as "Delivery was fast but food was cold" will be segmented into "delivery was fast" and "food was cold"

Benefits for Délice Express

Thanks to this approach, Délice Express was able to:

  • Quickly identify recurring issues, such as "cold meals" or "delivery delays."
  • Prioritize corrective actions by focusing on problems with the greatest impact on customer satisfaction.
  • Reduce the time spent analyzing feedback, allowing their teams to focus on higher-value tasks.

New clarity for targeted action

The future of customer experience lies in the ability to exploit the Voice of the Customer with precision and speed. With AI, every piece of feedback becomes an opportunity for improvement and loyalty. Don’t let your data go unused: unlock the potential of your customers' voices today with Glanceable.

Unparalleled customer feedback analysis within reach

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