Saatchi Art uses machine learning to personalize the artworks shown to visitors based on their past browsing behavior, with the system also incorporating selections curated by the company's human art experts. Buyers browsing the site see recommended artworks shaped by both their own history and human curatorial taste.

According to a 2020 blog post by Saatchi Art's General Manager, the company integrates its curators' custom collections into machine learning recommendations so that visitors receive not only artworks predicted to match their tastes from browsing history, but also more nuanced suggestions chosen by human curators. The system takes user behavioral data as input and produces a ranked or filtered set of artwork suggestions as output. The exact technical architecture (e.g., collaborative filtering, content-based filtering) is not specified in available sources.