Case Study: Oxfam Bangladesh achieves predictive sanitation management with Kaz Software

Oxfam Bangladesh predicts maintenance across 15,000+ latrines with Kaz Software

Kaz Software partnered with Oxfam Bangladesh to address a critical challenge in managing sanitation across refugee camps. Oxfam needed to move from a reactive to a predictive model for maintaining over 15,000 latrines to prevent overflows and protect public health. They required an AI-driven platform capable of optimizing resources and functioning offline in low-connectivity environments.

The solution implemented by Kaz Software was a digital sanitation management system powered by a custom spatial AI model. This platform centralizes data, predicts maintenance needs, and includes an offline-capable mobile app for field teams alongside a real-time web dashboard for managers. The system now supports sanitation services for over 10,000 residents, eliminating missed or unnecessary servicing and significantly improving operational efficiency and public health outcomes.

Oxfam Bangladesh