Amazon präsentiert ‚Interests‘, einen neuen KI-Assistenten, der das Einkaufen personalisiert und vereinfacht.
In Kürze
- Personalisierte Produktempfehlungen basierend auf Interessen
- Integration in die Amazon Shopping-App über den ‚Me‘-Tab
- Aktuell nur für eine kleine Nutzergruppe in den USA verfügbar
Amazon Launches New AI-Powered Shopping Assistant „Interests“
Amazon has introduced a new AI-powered shopping assistant called „Interests“ designed to make shopping easier for you. This innovative service suggests products based on your personal interests and hobbies. You can easily search for items like „brewing tools for coffee lovers“ or „patience games made of wood or metal,“ and the system translates your inputs into specific search queries to filter suitable products from Amazon’s vast assortment.
Integration and Personalization
The new assistant is directly integrated into the Amazon Shopping app and can be found under the „Me“ tab. Here, you have the option to create multiple interest profiles and customize them according to your preferences. This means you can specify which materials, colors, or price limits are relevant to you. An example of such personalization could be the search for „romantic and playful home decor under 100 dollars,“ making shopping even more individual.
Part of Amazon’s Comprehensive AI Strategy
„Interests“ is part of a broader AI strategy at Amazon, which currently encompasses around 1,000 AI projects. Another exciting example from this series is the „Health AI“ chatbot, which assists you with medical queries. Currently, „Interests“ is only available to a small group of users in the USA, but Amazon plans to make this feature accessible to all US customers soon.
Enhancing the Shopping Experience
With „Interests,“ browsing and finding products becomes not only easier but also more personal—a step that could elevate the shopping experience to a new level.
Quellen
- Quelle: Amazon
- Der ursprüngliche Artikel wurde hier veröffentlicht
- Dieser Artikel wurde im Podcast KI-Briefing-Daily behandelt. Die Folge kannst du hier anhören.
