SINGAPORE, April 10, 2026 — Grab is using artificial intelligence across its ride-hailing and delivery services as fuel prices remain a challenge for transport operators in Southeast Asia, said Anthony Tan, CEO of the company. Anthony Tan said AI tools already shape product design, pricing decisions, and how the company responds to changes in demand on its platform. The systems also process large volumes of trip and order data, which helps refine services across different markets.

Anthony said when services become more affordable, usage rises. That higher usage produces more data. That data then feeds back into product development and system improvements. He said this cycle is now a key part of how Grab develops and adjusts services across mobility and delivery. Anthony added that higher activity levels across the platform improve the quality of signals used in its models, which supports ongoing refinement of its systems.

AI Tools for Pricing, Routing and Demand Management

Grab has introduced a group ride feature that uses artificial intelligence to split fares among passengers. The company said the feature can reduce trip costs by up to 40 percent in some cases. The system is designed to match riders traveling in similar directions and distribute fares more efficiently across shared trips.

Grab has also rolled out several AI-related products across its mobility and delivery services in recent months. These tools are designed to improve fare efficiency and match drivers with demand more effectively. They also aim to make services more affordable for users. The company said these updates are part of an effort to improve how supply and demand interact across its platform.

The rollout includes tools beyond pricing features. Grab has added systems that support routing, demand forecasting, and driver allocation. These systems are designed to reduce idle time and improve matching between supply and demand. They also help adjust operations as conditions shift throughout the day across different locations.

Expansion Beyond Its Core Region

Grab has expanded outside Southeast Asia for the first time with its acquisition of Delivery Hero’s Foodpanda business in Taiwan. The deal marks its entry into a market outside its established eight-country footprint. It also gives the company a new operating base beyond its previous regional structure.

Indonesia remains its largest market, and Grab plans to expand its AI tools there. The company sees Indonesia as a key market for testing and refining features before rolling them out elsewhere. Higher user volumes in the country also provide more data points, which the company uses to improve system performance across services.

Anthony said larger markets help improve system performance because higher usage generates more data. That data helps train and refine AI systems used across the platform. He said this level of activity supports more reliable outputs from its models and improves how services are adjusted over time.

Fuel Prices and Profit Outlook

Fuel prices continue to weigh on ride-hailing economics, and Grab is using data and artificial intelligence to reduce inefficiencies linked to price changes. Anthony said the company is also working to balance affordability for customers with consistent service across its platform. This includes ongoing adjustments to how trips and deliveries are priced and allocated.

Grab reported its first full-year profit after 14 years of operations. However, its shares have fallen this year as revenue expectations came in below estimates. The result reflects investor focus on growth expectations even as profitability improves.

Anthony said the company continues to invest in AI-related products and systems. He said these investments are designed to support higher transaction volumes and improve how decisions are made across its services. The company sees these systems as central to handling increasing activity across mobility and delivery while maintaining operational discipline.