The rapid convergence of social media and e-commerce has made social commerce an environment where users engage and share information, driving platform success. While gamification has demonstrated success in boosting engagement, most gamification efforts remain static, focusing solely on achievement-based elements. This paper proposes a conceptual model that combines artificial intelligence, gamification design, and self-determination theory to explain how adaptive data-driven gamification can sustain motivation and engagement. This paper aims to integrate divergent perspectives and improve theoretical integration by combining AI behavioral analytics with motivational needs for autonomy, competence, and relatedness. Furthermore, it proposes methodological and practical insights for crafting personalized, honest, and rewarding games. This paper contributes to both theory and practice by constructing a framework that can serve as the foundation for the next generation of adaptive social commerce platforms that foster long-term engagement and meaningful information sharing.