Розробка комплексної методики оцінки ефективності інтелектуальних асистентів у електронній комерції

Abstract

This paper proposes a comprehensive methodology for evaluating the effectiveness of artificial intelligence assistants in e-commerce. It addresses the existing gap between technical metrics and financial performance by introducing an integral impact score that combines technical, economic, and behavioral parameters. A central element of the developed model is the «Trust Coefficient» ($K_{trust}$), which serves as a crucial multiplier for calculating effective conversion rates. The study demonstrates that ignoring user trust significantly increases the risk of financial inefficiency, regardless of high algorithmic accuracy. Ultimately, the research outlines a strategic shift from using AI exclusively as an operational cost-reduction tool to leveraging it as a powerful mechanism for creating added value through service hyper-personalization and building sustainable, long-term customer trust