The objective of this study is to validate the factors influencing the Intelligent Marketing Information System in Refah Chain Stores. In terms of purpose, the study is applied, and its methodological approach is quantitative with a descriptive–survey design. The statistical population consists of 384 managers and experts in marketing and information technology from selected branches of Refah chain stores. The sampling method used in this research is simple random sampling. Data were collected using a researcher-developed questionnaire. To evaluate the fit of the proposed model, Structural Equation Modeling (SEM) was employed using SmartPLS 4 software.The findings of the study indicate that business value strategy, intelligent product management, customer behavior analysis and purchase psychology, intelligent customer communications, responsive logistics and supply chain, intelligent customer experience, data technologies and infrastructures, performance measurement and metrics, organizational adaptability, and ethical and data governance frameworks have a positive and significant impact on the design of an intelligent marketing information system.Consequently, the design and implementation of such a system requires the intelligent integration of advanced analytical technology capabilities with business strategy, ethical considerations, and the preparation of the organizational infrastructure. This research provides an operational framework for managers of Refah chain stores, enabling them to transform data into actionable insights in order not only to enhance operational efficiency and profitability but also to effectively fulfill their social role in ensuring the adequate supply of essential goods for society.