Подход к оптимизации выкладки товаров с использованием искусственного интеллекта

Abstract

An innovative approach to optimizing product placement in retail using artificial intelligence is proposed. The method is based on the application of the LLaMA 3 family Large Language Model for analyzing and interpreting regulatory documents, as well as optimization algorithms for creating effective planograms. The approach includes automated processing of unstructured data, consideration of multiple factors in placement planning, and resolution of potential conflicts between various requirements. The proposed method demonstrates increased efficiency in the use of retail space and improved compliance with regulatory requirements.