Firms increasingly leverage product customization to bolster consumer satisfaction. However, this strategic pursuit frequently encounters a trade-off between process satisfaction and outcome satisfaction—a phenomenon conceptualized as the “customization paradox”. This paradox creates a strategic dilemma for manufacturers when determining optimal customization strategies. This study constructs a conceptual model integrating online customization strategies (by-attribute vs. by-alternative) and consumer satisfaction to empirically validate the existence of this paradox. Furthermore, the research explores the mitigating role of Artificial Intelligence Recommendation Systems (AIRS) in alleviating the deleterious effects of the paradox. Utilizing a multi-method approach comprising one natural experiment and two scenario-based experiments, the findings reveal that the customization paradox is prevalent across both customization strategies. Crucially, AIRS significantly mitigate the strategic dilemma, with intelligent recommendations exhibiting superior efficacy compared to virtual assistant recommendations. Additionally, the study identifies distinct variations in the effectiveness of virtual expert versus virtual friend recommendation personas in addressing the paradox. By deconstructing the mechanisms of the customization paradox and identifying actionable pathways for resolution, this research provides robust theoretical insights and practical frameworks for online vendors to optimize the design of customization interfaces.