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    Home»AI»Alipay AI Pay Turns AI Into Personal Shopper That Automates Buying at Your Price
    AI China Payments

    Alipay AI Pay Turns AI Into Personal Shopper That Automates Buying at Your Price

    Users can set a price goal and give one-time permission for AI to monitor and complete purchases automatically when conditions are met
    Fintech News Hong KongFintech News Hong KongMay 12, 20262 Mins Read
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    Alipay AI Pay has launched a delegated purchasing feature on Taobao, allowing users to authorise an AI assistant to monitor prices and execute transactions on their behalf.

    The tool integrates with Alibaba’s Qwen AI model to offer a conversational shopping experience.

    Users can instruct the assistant to find specific items at desired price points.

    The feature uses a single-use authorisation model, and the company says it enables safe automated shopping.

    Shoppers initiate the process by messaging the AI assistant within the Taobao application with a product and price request.

    After selecting a preferred item from the curated results, users authenticate the task through Alipay AI Pay.

    The system generates a one-time delegation and authorises the software to track the item’s price and automatically complete the payment once it reaches the target price.

    While currently live for target-price shopping on Taobao, the company is set to roll out the capability more broadly.

    Future applications will cover recurring expenses such as daily commutes, utility bills, and repeat ordering and procurement.

    Alipay launched its AI payment solution in 2025 to facilitate seamless transactions through digital agents.

    According to the company, the service crossed 100 million users in February 2026 and processed over 120 million transactions in a single week during that month.

    The product has since expanded across various use cases, integrating with retail applications like Luckin Coffee, consumer platforms, and smart glasses such as Rokid.

     

     

    Featured image credit: Edited by Fintech News Hong Kong, based on image by wahyu_t via Magnific

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