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Top 6: November 10th 2021
Interactive

Waze / Nissan: Nissan Shwii

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Top 6: November 10th 2021
How does a car manufacturer hack an internationally popular navigation app to provide a previously unconsidered South African market with unique tech aimed at keeping them safe on the road? Enter Nissan Shwii – a downloadable series of Zulu-language audio commands compatible for use on the Waze platform. Waze, the turn by turn navigation app, is used by more than 800,000 South African users, with 100,000 daily users, and offers real-time traffic reports and optimal route selections in 98 language options - including Arabic, Mandarin 'Boy Band' and 'Batman'. Zulu, although the most widely-spoken language in South Africa (20.6% of population), is not offered as an option. Shwii started with TBWAHunt Lascaris hacking the 'personal voice recorder' feature on Waze to create a series of 41 key Zulu voice-assist navigation commands; and resulted in a shareable link accessed via the Waze app from which users can download Zulu commands in male or female voice options.
The creative team behind this project are Carl Willoughby, ECD, Sanele Ngubane from Samish, and Thule Ngcese. Nissan Motor corporation is a Japanese multinational automobile manufacturer headquartered in Japan. As any global brand the ability to resonate with a local audience is always a challenge. By developing a campaign that literally speaks one of 11 local languages we created a great sense of local understanding based on strong local insights that tap into the isiZulu language. Nissan prides itself on not just being a car company but a tech company at heart. A whole host of technology has been developed over the years under the Nissan Intelligent Mobility name to help keep our drivers safe on the road, tech such as Nissan Intelligent Lane Departure warning, or Nissan Intelligent Forward Collision warning. This ‘hack’ helps remove another obstacle on the roads, namely language, by eliminating the need for the driver to translate English voice commands into isiZulu. This facilitates quicker more accurate driver responses, helping them anticipate the dangers on the road in their own language.
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