Published: 06 September 2022
Lack of purpose or transparency of AI applications has stood in the way of Chinese retailers gaining consumer trust. Data and analytics leaders in charge of AI for retail in China can increase consumer trust by using AI for good and by offering better transparency and control of personal data.
Consumer preferences to use AI for good will influence retailers to use AI to benefit society more than their own businesses.
Retailers who fail to avoid building abusive AI applications not only will lose the trust of consumers, but also face legal penalties from the government.
Retailers who are slow to provide consumers sufficient value of AI applications in a secure way will lag behind their competitors due to lost trust for consumers to further share their data.
To build a trusted relationship with retail consumers in China, data and analytics leaders in retailmust:
Build consumer brand trust by promoting applications
Analysts:
Mike Fang, Tracy Tsai, Sandy Shen, Ben Yan, Roger Sheng, Arnold Gao
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