Amazon Upgrades WhatsApp Shopping Service, Launches AI-powered Shopping Guide Feature

亿邦动力

According to foreign media reports, Amazon has recently rolled out an upgraded WhatsApp shopping service to consumers. After receiving messages from Amazon, users can reply to inquire about discounts, request product recommendations and search for related items, and then complete orders by redirecting to the Amazon app or its official website.

Real-world tests show that when asking the service for the best mosquito repellent spray, the system will first confirm whether the use scenario is for household use, horse fly repellent or personal protection. After the household scenario is selected, multiple options will be provided, including products from two leading brands. The system will then proactively ask whether users need pet-safe options, discounted products or plug-in alternatives.

Amazon's official WhatsApp account, marked with a green or blue verification badge next to its name, uses the unified number 44-2039420155 to contact users. The official team will never request any confidential information via WhatsApp, and necessary operations will be completed by redirecting to the Amazon account login page. Users can customize the types of messages they receive in communication preference settings, including order notifications, promotion updates and more. Users under the age of 18 need to use the relevant services accompanied by a parent or guardian.

The account does not currently support connection to human customer service. Users with relevant needs can go to the official customer support section for assistance. Users can enter STOP in the chat box at any time to stop receiving messages, or update settings in their account communication preferences.

This Amazon shopping assistant on WhatsApp is powered by AI. After a conversation ends, it will not store users' chat content, nor use it for subsequent personalized interactions. Limited by the inherent characteristics of AI technology, the service's responses may contain errors.

This article was first published on the official website of Ebrun.

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Translated by AI. Feedback: run@ebrun.com