In the context of the strategic drive for Digital China and green development, modern supply chains are undergoing significant transformations, moving away from traditional paradigms towards green and digital-intelligent frameworks. The current green and digital-intelligent evaluation models of supply chains face significant challenges of inadequate coupling and coordination among multi-dimensional indicators and strong subjectivity. The establishment of an adaptive evaluation model for green and digital-intelligent progress is of paramount importance for enterprises and supply chains alike, as it enables the optimization of resource allocation and business processes. Thus, we have devised an integrated index system comprising core and distinctive indicators, and employed long-term multi-dimensional supply chain data to construct a development evaluation model utilizing the CRITIC-G1 method and Bonferroni mean operator. The empirical analysis of three cable suppliers demonstrate that the evaluation results are consistent with their developmental patterns and characteristics, thereby confirming the comprehensive practicality of the index system and the scientific validity of the evaluation model. This coupling coordinative evaluation framework offers a quantitative basis for the refinement of enterprise development strategies and the delineation of pathways for the enhancement of supply chain quality and efficiency.