# Tourists on GrabChat!

[Grab](https://yomu.fyi/company/grab) · Lara PuReum Yim · May 22, 2019

**Type:** Explainer

## Summary

Grab examined more than 3.7 million tourist messages across Singapore, Malaysia, and Indonesia sent between December 2018 and March 2019 to evaluate passenger communication patterns. The platform deployed in-house translation and prewritten, auto-translated chat templates to bridge language barriers between international riders and local drivers. Analysis showed that bookings utilizing chat templates experienced a 10% higher ride completion rate than those without. Image-sharing features were most heavily used in high-traffic hubs such as airports, shopping malls, and major tourist centers to aid driver location. Passengers also consistently used messaging to clarify luggage capacity, provide identifiable passenger descriptions, and check pet policies.

## Context

Tourists traveling across Southeast Asia face language and navigation barriers when attempting to communicate with local drivers and coordinate pickups in unfamiliar, crowded locations.

## Approach / What changed

Grab introduced in-app messaging capabilities featuring in-house automated translation across regional languages, prewritten customizable message templates, and photo-sharing tools.

## Takeaways

- Grab ride bookings that incorporated chat templates achieved a 10% higher completion rate compared to bookings that did not use them.
- Tourists from East Timor, Nigeria, and Ukraine recorded the highest average messaging volume, sending 6.0, 5.6, and 5.1 chats per booking respectively.
- Image transmission was highest in major commercial and transit hubs, specifically Singapore's Downtown Core, Kuala Lumpur City Centre, and Kuta in Bali.

**Tags:** [Data Pipelines](https://yomu.fyi/topic/data-pipelines)

[Read original post](https://engineering.grab.com/tourist-chat-data-story)