{"id":256667,"date":"2026-01-13T10:52:28","date_gmt":"2026-01-13T02:52:28","guid":{"rendered":"https:\/\/www.grab.com\/sg\/?post_type=editorial&p=256667"},"modified":"2026-01-30T10:40:54","modified_gmt":"2026-01-30T02:40:54","slug":"four-ways-grab-solves-real-world-user-challenges-with-ai","status":"publish","type":"editorial","link":"https:\/\/www.grab.com\/sg\/inside-grab\/stories\/four-ways-grab-solves-real-world-user-challenges-with-ai\/","title":{"rendered":"Four ways Grab solves real-world user challenges with AI"},"content":{"rendered":"\t\t
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At Grab, artificial intelligence (AI) is a key driver behind much of how we innovate and transform how consumers interact with everyday services on our platform.\u00a0<\/p>

The following four examples demonstrate how our AI technology solves real-world challenges for our users:<\/p>

Solving navigation friction with visual pickup guides\u00a0<\/h5>

Getting to pickup points can be difficult for passengers who find themselves in unfamiliar areas, such as busy malls or large airports.<\/p>

We\u2019ve created video walkthroughs<\/a> that serve as guides to these pickup points. We do this by making use of existing visual data and AI tools that can stitch together static photos into an immersive walk-through video experience, minimising the need for manual video production. That means we can quickly roll out video guides for more locations.<\/p>

These video guides reduce confusion, minimise waiting times, and prevent unnecessary cancellations, ensuring passengers connect with your driver quickly and efficiently.<\/p>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t

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Overcoming language barriers with accurate local menu translations\u00a0<\/h5>

Ordering from local merchants shouldn\u2019t be hindered by language barriers. Our AI models are specifically trained on regional food terms to ensure\u00a0highly accurate translations<\/a>\u00a0that generic tools often miss. This allows consumers to explore and order from local eateries in their preferred language.\u00a0<\/p>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t

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Users can tap on the translation icon to instantly view the menu items in their preferred language.<\/figcaption>\n\t\t\t\t\t\t\t\t\t\t<\/figure>\n\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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Making ride booking accessible with LLMs and voice recognition<\/span><\/h5>

Our\u00a0AI Voice Assistant<\/a>\u00a0allows visually impaired users to simply speak their intent and get going: faster, easier, and with more independence.<\/p>

The feature uses large language models and voice recognition to interact with users through voice commands. It guides users through the process of booking a ride and keeps users updated on the driver\u2019s status, from the moment a driver is found to their arrival.<\/p>

Ensuring delivery reliability for large orders with automated order splitting\u00a0<\/h5>

Delivering large food or grocery orders can be a logistical challenge for our delivery-partners, especially those on motorcycles. To improve the reliability of large order deliveries, Grab has introduced a system to\u00a0split bulky orders<\/a>\u00a0across two delivery-partners at no extra cost to the customer.<\/p>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t

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In case of a split delivery, the customer can follow the journey of each delivery driver.<\/figcaption>\n\t\t\t\t\t\t\t\t\t\t<\/figure>\n\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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This is done by a system-initiated split where a Large Language Model evaluates orders based on size and weight. Meanwhile, delivery-partners can also initiate splits if they find an order too large to handle alone, even if not flagged by the system.<\/p>

This ensures that consumers enjoy faster and more reliable delivery for every occasion.<\/p>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t

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