Smiling Payment Systems

Alipay Uses Smile to Pay to Let KFC China Customers Pay With Smiles

As artificially intelligent systems continue to improve, Alipay is looking to capitalize for KFC China customers. The massive online retailer's payment system has recently enabled payments through smiling at a single KFC location in Hangzhou, China, hoping that the system will ultimately lead to safer and more reliable payments for customers in all areas of retail.

Smile to Pay might seem like a gimmick to get people excited about their trip to the fried chicken restaurant, but it has practical purpose for both KFC China customers and sales more broadly. By both entering one's mobile phone number and allowing Smile to Pay to conduct a one- to two-second facial scan, the system prevents identity theft far more effectively than simply paying with a credit card or even a smartphone alone.

Facial Recognition Payments
Opportunity to disrupt the payment industry by using facial recognition technology for secure and convenient transactions.
Artificial Intelligence Payment Systems
Potential to revolutionize the way payments are made by integrating AI technology into payment systems for enhanced security and user experience.
Biometric Authentication
Disruptive innovation opportunity to improve identity verification in payment systems through the use of biometric data such as facial recognition.

Where This Applies

Retail
Adoption of smile-based payment systems can provide an innovative and seamless payment experience for retail customers, enhancing convenience and security.
Hospitality
Implementation of facial recognition payments in the hospitality industry can streamline check-in and payment processes, offering a convenient and efficient experience for guests.
Technology
Opportunity to develop and advance facial recognition and biometric authentication technologies that can be integrated into various payment systems across different industries.
SCORE
4.1 out of 10
GENDER
50% Men50% Women
MARKETTop markets: Asia
GENERATION
  • Gen Z
  • Gen Alpha
  • Gen X
  • Millennial (primary audience)
POPULARITY
Popularity 37%
Activity 78%
Freshness 8%