User behaviour data is a gold mine to gain insights about users and help us improve user experience. In this blog, we explore a query expansion framework based on user rewrite behaviour and how it improves user search experience and conversion.

Telematics is most commonly used to monitor vehicle movements and track driving safety, profiling, fleet optimisation and possible productivity improvements. Read this to find out more about how Grab uses telematics to encourage safer driving across our driver and delivery partner fleet.

At Grab, real-time fraud detection is built on a rule engine. As data scientists and analysts, we need to analyse and simulate a rule on historical data to check the performance and accuracy of the rule. Backtesting, also known as Replay, enables analysts to run simulations of either newly-invented rules, or evaluate the performance of existing rules using past events ranging from days to months, and significantly improve rule creation efficiency.

The Grab Order Platform is a distributed system that processes millions of GrabFood or GrabMart orders every day. Learn about how the Grab order platform stores food order data to serve transactional (OLTP) and analytical (OLAP) queries.

Most frequently asked questions (FAQ) are repetitive, which hinder on-call engineers' productivity. Read to find out how we automated FAQ responses at Grab, allowing engineers to focus on operational tasks.

As fraud schemes get more complex, we need to stay one step ahead by improving fraud investigation methods. Read to find out more about graph visualisation, why we need it and how it helps with uncovering patterns and relationships.

Facial recognition technology has grown tremendously in recent years due to the rise of deep learning techniques and accelerated digital transformation. Read to find out more about facial recognition technology in Grab and the components that help keep you safe.

Graph theory-based approaches show the concepts underlying the behaviour of massively complex systems and networks. Read to find out how graphs came about, where they can be used and the part they play in graph technology.