Vox Trends

We have developed own approach of reviews classification using GPT-4.​


Content analysis of customer reviews offers a valuable perspective on the business, providing crucial insights into customer sentiments and preferences.

We turn the vast landscape of thousands of reviews into actionable insights for business decision-making.
We use AI to distill the sentiments, themes and opinions expressed in these reviews, providing a comprehensive overview of customer perceptions.

Obtain customers reviews

AI driven content analysis & rating of reviews

Topic Rating Sentiment
E-Shop Organization 3 Negative
Goods Quality 3 Negative
Product availability 2 Negative
Delivery Speed 8 Positive

Insights for business

  • What is the most discussed topic?
  • How are customers happy with the delivery service?
  • What role do play prices for the reputation?
  • Where I excel or fall compared to my competitors?


We have developed own approach of reviews classification using GPT-4.

The training process involves iterative adjustments based on feedback and additional labeled data. The goal is to create a robust and adaptable system capable of understanding and evaluating the nuanced content of customer reviews.

Selection of relevant reviews

The model is trained to identify and select only reviews that contain comments directly related to the evaluated unit (e.g., brand, store, product). Irrelevant or off-topic reviews are excluded.

Overall rating calibration

The model learns to associate specific language patterns, sentiments and contextual cues with appropriate overall ratings.

Topics categorization

The model is trained to categorize reviews based on most discussed topics in the reviews. The topics can also be added manually based on the business needs.

Topics rating calibration

The model learns to associate specific content characteristics within each topic with appropriate ratings, refining its ability to evaluate and rate individual aspects of the customer experience.


Overall rating summary

  • Overall performance expressed by one number
  • Sentiment – categorizing the nature of discussions as negative, neutral or positive.
  • Effective comparisons across various business units, regions, channels, …

Detailed topics analysis

  • Intensity of discussed topics over time
  • Rating and sentiment associated with each identified topic
  • Content analysis by subgroups (business units, channels, …)

Detailed view on units

  • Identification of better or worse performing entities within the organization
  • Sources of the negative/positive evaluation


Customer insights

Content analysis of reviews provides deep insights into customer sentiments and opinions. It helps you understand what customers love about your stores, what concerns they may have and what specific aspects of their experience stand out.

Brand perception

By analyzing the language used in reviews, you can gauge the overall perception of your brand. This insight is invaluable for refining your brand messaging and ensuring it aligns with customer expectations.

Competitive benchmarking

Comparing your reviews with those of competitors allows you to identify areas where your brand excels and areas that may need improvement. This benchmarking is essential for positioning your brand effectively in the market.

Operational excellence

Reviews often highlight operational issues such as long wait times, cleanliness, or staff behavior. Addressing these concerns can lead to operational improvements, enhancing the overall customer experience.

Marketing strategy enhancement

Positive sentiments identified in reviews can be leveraged in marketing materials, advertising campaigns, and social media. Real customer testimonials provide authentic content that resonates with potential customers.

Proactive reputation management

Regular content analysis allows you to identify potential issues before they escalate. By proactively addressing concerns raised by customers, you can manage and protect your brand’s online reputation.