📋 Tender Overview
At AI Journey, Ivan Kuzmin, director of B2C Data and Recommender Systems at Sberbank, spoke about how personalization technology change users digital experience. Today, the digital world is increasingly adapting to modern realities. Content and suggestions reach users through recommendation algorithms, such as smart feeds and timely notifications. In this context, Sber is developing intelligent digital assistants that learn to anticipate human needs, reminding about important matters, selecting necessities, offering solutions even before the user articulates their inquiry. This is not an abstract technology: every day, over 110 million people receive personalized suggestions tailored to their unique needs. Since the beginning of the year, more than 50 billion personalized recommendations have been distributed, guiding clients in choosing products and services. To achieve these results, the B2C department processes 13.5 petabytes of customer data, equivalent to 500 billion printed pages. Based on this data, Sbers systems generate over 2,500 recommendations per second, summing up to 5 billion personalized offers each month. Over 60% of content for personalized offers is already created using AI without human involvement, ensuring each experience is more personal and relevant. Personalization has become a strategic cornerstone of the customer experience. Its effectiveness is reflected in business results: one in three sales at Sber is driven by recommendations. It is not just about increasing conversions. It is a shift from one-time purchases to long-term relationships with customers, where the service anticipates desires rather than waiting for requests.