Rubbles together with Utkonos implements AI-based recommendation system

2021: Implementation of the recommendation system

On September 20, 2021, IT company Rubbles announced that together with Utkonos ONLINE it is implementing an AI-based recommendation system for the company's online store website and application. It is expected that the solution will diversify the shopping cart, increasing the share of new goods in the buyer's cart by 12%. The system will help personalize search results and product catalogs according to each customer's preferences. Artificial intelligence will also be responsible for the recommendations in the sections "They usually buy with this product" and "You may like it." The service will offer users new products and products that may be interesting to them, but are not included in the usual shopping cart.

The AI-based project creates product lists for recommendations and search results based on customer behavior and certain parameters. Among them: the history of visiting the site and application retailer by the user; Purchase history online checks; The history of communication with the buyer (the buyer's response to various marketing communications and campaigns).

The system operates in two modes - automatic and controlled. In the first case, all algorithms work independently without the participation of employees. In the second, controlled mode allows you to manually influence recommendations by changing a number of parameters: the number of new products in the issue top, managing popular, rating products and products with increased cashback. Also, for employees of Utkonos ONLINE, the possibility of including additional parameters in the automatic mode will be created to increase point efficiency from recommending goods.

Шаблон:Quote 'author = said Dmitry Makeev, head of customer analytics at Rubbles.

Шаблон:Quote 'author = noted Chursina Oksana, product manager at Utkonos ONLINE.