A Geolocation-Integrated Emergency Blood Donation Response System (GI-BDERS) was developed to enhance the speed and accuracy of emergency blood donation processes in Nigeria. The system integrates geolocation tracking, automated donor matching, and SMS-based communication to improve emergency response coordination. GI-BDERS was designed using an agile methodology and implemented with Django, PostgreSQL, Google Maps API for location tracking, and Termii API for notifications. Real-world testing demonstrated significant improvements: average donor response times ranged between 7–19 minutes, rare blood types achieved up to 57% engagement, and matching accuracy reached 100% using a Python-based compatibility matrix. These results show the system’s capability to reduce delays, enhance donor mobilization, and improve operational efficiency in emergency healthcare delivery. Future work includes integrating machine learning to enable predictive analytics for optimized emergency response.