Case Study: MDaaS keeps maps current and accurate with NextBillion.ai

Southeast Asia’s Leading On-Demand Platform Keeps Maps Current and Accurate With NextBillion.ai

MDaaS, a leading on-demand platform in Southeast Asia, needed a better way to keep its private map data current across major cities as it expanded into ride-hailing, delivery, payments, and logistics. The company relied on both OpenStreetMap data and proprietary driver-ping intelligence, but frequent large-scale merges created conflicts and failures. It turned to NextBillion.ai and its map data management and maps technology to address the issue.

NextBillion.ai implemented Map Data Management as a Service to merge MDaaS’s private edits with OSM updates, adding automated conflict detection and merge guidelines to streamline the process. It also used Maps APIs to generate customized map tiles for fast rendering at multiple zoom levels. As a result, MDaaS achieved smoother map updates, better data quality through post-merge QA and validation, and more accurate, up-to-date maps that improved navigation, service efficiency, and user experience.

MDaaS