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

About the Company

This leading on-demand platform in Southeast Asia began in 2010 as a ride-hailing service and has grown into a comprehensive multi-service ecosystem. Offering transportation, food delivery, digital payments, logistics, and more, the company plays a pivotal role in the region’s service economy.

The Problem

As the platform expanded its ecosystem, it faced a significant challenge in updating and maintaining its private map data for the major cities they operate in.

The on-demand platform relied on a combination of public OpenStreetMap (OSM) data and proprietary map data generated from intel gathered through driver pings to ensure accurate and up-to-date information.

However, the frequent merging of multiple layers of map data at a large scale led to data conflicts and merge failures. They needed a robust solution to effectively manage this process and avoid data inconsistencies while incorporating updates from OSM.

To address this, they turned to NextBillion.ai.

The Solution

NextBillion.ai’s location technology solutions, including Map Data Management Service and Maps APIs, successfully solved the company’s map data challenges.

Map Data Management as a Service (MDaaS)

NextBillion.ai’s map data optimization approach involved merging the platform’s team’s map edits with public OpenStreetMap (OSM) data to ensure the map stayed up-to-date with the latest modifications.

NextBillion.ai designed a set of guidelines to minimize conflicts and ensure a seamless merge of map data on a regular basis. The guidelines were incorporated into an automated conflict detection and solving tool for auto-merging the data. This approach resulted in a smooth and glitch-free data merge process.

Maps API

NextBillion.ai utilized its map tiles generation pipeline to process the platform’s map data edits and generate map tiles styled according to their customized preferences. These map tiles enabled fast and efficient rendering of maps for various zoom levels.

The on-demand platform easily integrated these map tiles into their applications, which enhanced the user experience.

Outcome

NextBillion.ai’s location technology solutions streamlined the platform’s map data update process for major cities. They successfully merged the platform’s private map data with public OSM updates, resulting in an accurate and updated map layer for its multi-service ecosystem.

1. Thorough QA process post-merge ensured error-free and reliable map data.
2. A custom validator tool with pre-defined QA conditions identified and resolved potential data inconsistencies.
3. Spot checks on data validation reports ensured the highest data quality and optimized the multi-service platform’s navigational logic.
4. The platform received accurate and up-to-date map data, which enhanced service efficiency.
5. The customized map style using Maps APIs enhanced the overall user experience and brand identity.