Companies are confirming that, even in a VUCA (volatile, uncertain, complex, and ambiguous) world, it is possible to gather improvements from becoming demand driven. However, to gather these benefits and improvements, it is important for organizations to be aware of the Supply Chains present on its operations to apply different segmentation approaches in managing them. In this paper, we analyzed several segmentation models in order to adapt one of them to identify a Demand Driven Supply Chain (DDSC) in a company object of study. The objective of this analysis was to quantify the percentage of produced volume which has DDSC characteristics, based on the buying behavior of two previously identified customers group. The proposed model enabled the organization to identify that 47,94% of the group A volume and 85,07% of the group B volume were adherent to a DDSC. By using gathered data from a real application, the model strongly supports the use of a quantitative fuzzy methodology to segment supply chains, since the results were coherent to the reality pointed by the experts from the studied industry. The adapted model contributed to the alignment of the Supply Chain of the studied industry, providing a more accurate evaluation methodology than other proposed models in literature, facilitating the indication of strategic paths to realignment.