This study proposes an intelligent and adaptive evaluation framework for assessing e-commerce talents in higher vocational colleges under the 'New Business' paradigm. Drawing on the Analytic Hierarchy Process (AHP), the framework integrates expert-driven judgments with competency-based evaluation indicators across six dimensions: professional knowledge, technical application, innovation, market analysis, communication, and ethics. Based on 192 valid survey responses and 10 expert consultations, an empirical AHP-based model was constructed, with indicator weights validated through consistency testing.To address the inherent subjectivity and static nature of traditional AHP, this research introduces a forward-looking design that incorporates AI-driven concepts. A three-layer intelligent evaluation architecture is proposed, consisting of data input, evaluation logic, and feedback layers. While actual AI modeling is reserved for future work, the conceptual integration outlines how machine learning, fuzzy logic, and behavioral data from LMS and internship platforms can enable dynamic weight adjustments, personalized feedback, and real-time competency profiling. This hybrid approach not only enhances the flexibility and scalability of the evaluation process but also aligns with the digital transformation of vocational education. The study provides a theoretical and methodological foundation for the development of smart evaluation platforms and future AI-powered educational decision-support systems tailored to evolving vocational demands in the digital economy. © 2025 The Authors.
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