This summary highlights the use of spatial priority scores to improve network access for senior citizens, leveraging location intelligence and CARTO Workflows. The approach involves three phases: creating an eligibility model through regression analysis, generating a priority score using spatial composite methods, and creating AI-generated descriptive labels. By combining datasets such as telco data, building height, and human mobility data, the analysis aims to identify areas with higher senior populations, lower network speeds, and increased urbanity, requiring enhanced network connectivity services. The resulting priority score maps showcase regions warranting immediate attention, and the methodologies employed demonstrate CARTO's spatial analysis capabilities, including regression models, composite score generation, and AI-driven insights.