To excel in a heavily diversified market like Southeast Asia, we leverage on the depth of our data to understand what sorts of information users want to see on our Feed and when they should see them. In this article we will discuss Grab Feed’s recommendation logic and strategies, as well as its future roadmap.

This blog post explains why and how we came up with a machine learning model serving platform to accelerate the use of machine learning in Grab.

This blog post describes how we used React Native to optimize the Grab PAX app.

Much of the work done by the service design team at Grab revolves around integrating people, processes, and systems to deliver seamless user experiences. In this blog post, we present an overview on how Grab's service design team goes about doing that.

Just over two years ago we introduced GrabChat, Southeast Asia’s first of its kind in-app messaging platform. Since then we’ve added all sorts of useful features to it such as auto-translated messages, the ability to send photos, and even voice messages! It’s been a great tool to facilitate smoother communications between our driver-partners and our passengers, and one group in particular has found it incredibly useful: tourists!