Assessing the impact of AI-generated product names on e-commerce performance

This paper studies the impact of Large Language Model (LLM) technology on the e-commerce industry. This work conducts a detailed review of the current implementation level of LLM technologies in the e-commerce industry. Next, it analyzes the approaches to detecting AI-generated text and determines the limitations of their application. The proposed methodology defines the impact of LLM models on the e-commerce industry based on a comparative analysis between indicators of machine-generated texts and e-commerce product metrics. Applying this methodology to real data, one of the most relevant data collected after the release of ChatGPT, the results of statistical analyses show a positive correlation between the studied indicators. It is proved that this dependence is dynamic and changes over time. The obtained implicit indicators measure the influence of LLM technologies on the e-commerce domain. This influence is expected to grow, requiring further research.