This work aims to develop an Internet of Things (IoT)-based system for managing postpartum hemorrhage (PPH) in resource-poor countries to reduce maternal mortality rates. The researchers developed an IoT hardware device and a mobile application to monitor and manage PPH. The system incorporates real-time sensors to measure blood loss and critical parameters, such as oxygen saturation (SpO2) and heart rate. The collected data is transmitted to critical care units using IoT technology. Blood loss is measured using an ultrasonic sensor, and the system has shown 95% accuracy in monitoring SpO2 and heart rate for healthy individuals. The patient’s blood loss was simulated using a local red fluid. The developed IoT-based PPH management system provides real-time monitoring and is cost-effective. It enables physicians to estimate blood loss accurately and administer appropriate fluid replacement, thereby reducing maternal mortality rates associated with PPH. The system is also suitable for home-based management to a certain extent. Continuously monitoring critical parameters during delivery helps reduce mortality rates during and immediately after pregnancy. The proposed design is particularly useful in low-resource settings, making it a valuable tool for PPH management in resource-poor countries.