This FINCA International blog explains how nuances within the broad segment of women clients affect women’s financial inclusion and how machine learning was used to create a model of consumers' needs and pain points in DR Congo. he goal was to predict, based on different social factors, whether it would be easy or hard for a woman to find the right product. It emerges that differences in product awareness show that we need to look deeper at sub-segments among women if we want to achieve equality of financial access.