Abstract <p>This paper proposes several methods for increasing the consistency of data structure using the example of the problem of searching for groups of identical products on a marketplace. Proper grouping of identical products makes it easier for the buyer to find the most suitable offers in terms of price, rating, or delivery time, and thus improves their user experience. These groups also allow marketplace sellers to gain insight into the competitiveness of their prices and the attractiveness of their product listings compared to other sellers, so they can make changes if necessary. The main objective of the study is to select the optimal strategy for combining products into groups based on the principle of identity. To this end, experiments were conducted with various approaches, from which the most effective one in terms of quality and speed of data processing was selected. The developed method takes into account various characteristics of goods and their interrelations, which allows for the accurate identification of identical goods. Among other things, the chosen approach has an efficient implementation in the MapReduce paradigm, which makes it relatively fast even on large volumes of data. This, in turn, improves user interaction with the platform and increases the overall efficiency of the marketplace.</p>