In Dakar slums, inadequate waste management systems lead to environmental degradation and public health issues. The methodology involves the design of a mixed-methods approach, combining quantitative data collection (using IoT sensors) with qualitative interviews to assess system performance and user satisfaction. Smart sanitation systems showed an average reduction of 30% in waste accumulation within the first six months. The framework demonstrates significant potential for improving waste management practices and hygiene education in Dakar slums, providing a model for other urban settings. Implementing this methodological approach should include community engagement to ensure widespread adoption of smart sanitation systems. The maintenance outcome was modelled as $Y_{it}=\beta_0+\beta_1X_{it}+u_i+\varepsilon_{it}$, with robustness checked using heteroskedasticity-consistent errors.