<p>The in-depth application of artificial intelligence technology has driven e-commerce platforms to transform toward intelligent service-oriented operations. Most existing platform evaluation systems focus on conventional dimensions and lack a quantitative assessment of intelligent services. Traditional evaluation methods also have difficulty addressing the fuzziness of intelligent indicators and conducting scientific quantitative evaluations. In this paper, an evaluation system for the intelligence level of e-commerce platforms is established, which consists of 4 primary indicators, namely, intelligent customer service, personalized recommendation, intelligent search, and intelligent promotion, along with 15 secondary indicators. An improved matter-element extension model adopting AHP–extension combined weighting is applied. By defining the classical domain and joint domain of indicators and calculating correlation degrees and evaluation grades, an objective quantitative evaluation of the platform intelligence level is performed. Taking JD.com as the empirical research subject, this study conducts an analysis based on evaluation criteria from seven experts and 504 valid user questionnaires. The results indicate that JD.com reaches an overall favorable intelligence level, with balanced development across the four major dimensions. Nevertheless, the platform still has deficiencies, such as insufficient reliability of intelligent customer service and low accuracy of personalized recommendations. This study fills the gap caused by the absence of the intelligence dimension in e-commerce platform evaluation and broadens the application scope of the matter-element extension model in digital business. It can provide a theoretical reference and practical support for the intelligent upgrading of e-commerce platforms and the formulation of industrial intelligent evaluation standards.</p>