Amazon One, the palm recognition service offered by Amazon Web Services (AWS), has officially reached over three million uses. To celebrate this milestone, Whole Foods Market is taking a major step forward by introducing it for payment and Prime membership benefits at all of its 500+ locations in the United States by the end of the year.
Just with a swipe of their palms, Whole Foods Market customers will no longer need their wallets or phones to make purchases. Instead, they can simply hover their hand over a checkout device, making shopping seamless and convenient.
In addition, for Prime members who link their Amazon One profile with their Amazon account, savings will automatically be applied to their purchases once the transaction has been completed.
Currently, this technology is available at more than 200 Whole Foods Market locations across multiple states, including Arizona, California, New York, and Texas. The rollout will continue in the coming months, reaching stores in other states and locations across the country.
Beyond Whole Foods Market, third-party businesses have also embraced palms as an identification and payment option for their customers. Panera Bread, for instance, has recently introduced a loyalty-linking capability at select restaurants, providing a personalized experience for guests.
Those interested in enrolling in Amazon One simply need to complete a short process. First-time users can pre-enroll online using their credit or debit card, Amazon account, and mobile number.
The enrollment process can be completed in seconds by scanning their palm over one of the devices during their next visit to a participating Whole Foods Market store or any other location where the option is available. Additionally, customers can enroll in-store using their credit card and phone number.
It turns out buying items with your hand could be safer than other cashless payments. Unlike credit cards or passwords, the unique palm signature created by Amazon One cannot be replicated to impersonate a customer. The system analyzes both the palm and underlying vein structure to generate the palm signature, ensuring accurate identity matching.