"Napoleon.Reviews" help 12Storeez collect and systematize feedback

2024: Use of "Napoleon.Reviews"

The product based on generative networks Napoleon.Reviews"" allows the brand to 12 STOREEZ automatically collect and organize feedback from different sources, track the mood of customers in real time, and detect anomalies in a timely manner. The use of the product has a beneficial effect on improving feedback analysis from customers and increasing customer service, which ultimately has a positive effect on financial performance. This was Napoleon IT (Napoleon Aichi) announced on August 7, 2024.

12 STOREEZ is important to constantly be open and seek feedback from customers to provide the best possible service. To solve these problems, Napoleon IT successfully propilated and implemented the Napoleon.Reviews product. Napoleon IT's own LLM model, built into the product, allows you to automatically analyze up to 1000 reviews per second, determine their tonality, categorize them and conduct deep customer feedback analytics.

Thanks to the use of generative technologies "Napoleon.Reviews" brand 12 STOREEZ can:

• Automate and respond to feedback from customers with a convenient dashboard
• improve the quality of products and improve customer service by collecting feedback from customers;
• Share feedback and insights with foreign partners through a built-in AI translator
• Save significant time by reducing manual feedback processing.

"Napoleon.Reviews" allows you to analyze reviews from sites where brand products are present. As of August 2024, 12 STOREEZ uses feedback from buyers from its own site for analysis, as well as reviews online store clothes from Lamoda, which presents the brand's products.

Service and customer satisfaction are important for us. One of the key metrics in the company is CSI (customer satisfaction index), so we analyze all the reviews that we receive from different sales channels. The team invests quite a lot of time in the technical analysis and categorization of reviews, there is not enough resource for analysis. The product "Napoleon.Reviews" in practice showed good quality of feedback processing, we plan to get away from manual categorization. Thanks to the solution from Napoleon IT, the team will be able to focus on analysis, reduce the number of manual operations, as well as increase the speed of decision-making, which will ultimately affect CSI and Retention Rate, - commented Tatiana Rogatneva, Director of Procurement, Production and Quality of 12 STOREEZ.

Our LLM model is trained daily on more than 100,000 reviews, making it more accurate in the analysis of any feedback. This technology allows us to quickly build reports, aggregating data from different sources and providing valuable information for decision-making identified by AI, as well as specific recommendations for what needs to be done to improve the quality of service. The project with 12 STOREEZ confirmed the applicability of our technology in the fashion industry, - commented on the cofounder "Napoleon.Reviews" Danil Zaytsev.