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Project

Napoleon IT rolls out AI review analysis for Fresa's Group restaurant group

Customers: Fresa’s Group

Tourism, Hospitality and Restaurant Business

Product: Napoleon IT reviews

Project date: 2025/09

2025: Introduction of AI review analysis

Napoleon IT is implementing a project to introduce an artificial intelligence system to analyze customer feedback from Fresa's Group, a large restaurant chain operating in the international market. The network includes the brands FRESA, Sea Signora, Marso Polo, Saviv and others. This tool allows you to receive more accurate and specific feedback from guests than the traditional star rating system. Napoleon IT announced this on October 7, 2025.

In the restaurant industry, guest reviews directly affect the brand's reputation and audience loyalty. At the same time, the standard star rating system often distorts the picture: guests can write a positive comment, but put one star, or vice versa - a negative text with a high rating. This makes it difficult to make management decisions. According to statistics, text reviews analyzed in terms of mood show an average rating of 2.7, while the overall average rating on the platform is 4.5. This difference demonstrates that relying only on a star rating masks real problems that are detected only through text analysis.

The developed solution allows you to analyze reviews not only by the number of stars, but also by specific criteria that are important for business. Thanks to this, the system identifies and classifies problems that the company itself considers priority - be it "loud music" or "convenience of booking." This approach provides accurate statistics and helps to highlight real service quality trends. Moreover, algorithms are able to automatically process large amounts of data and find hidden patterns that cannot be captured in traditional analysis. All this is already reflected in the real work of restaurants, which is noted by representatives of Fresa's Group and Napoleon IT.

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Thanks to AI reviews, we managed to improve feedback processing and pay attention to details that were previously invisible, - commented Varvara Arkhipetskaya, head of hospitality at Fresa's Group.
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Artificial intelligence allows you to systematically work with feedback from guests: a clear picture is formed from the array of reviews, on the basis of which restaurants can make informed decisions and improve the service. This approach helps not only to improve the quality of service, but also to form a strategy for its development for the future, "said Pavel Podkorytov, co-founder of Napoleon IT.
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The project helps Fresa's Group improve the quality of service and strengthen customer confidence - and this is becoming a key competitive advantage in the modern market.