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本帖最後由 mahiislam92 於 2024-4-24 13:35 編輯
or improve user engagement and conversion rates, and optimizing page levels also minimizes the need for resource-intensive user experience testing.Compared to the basic recommendation system used by customers, Google Cloud Recommendations AI has shown a double-digit increase in conversions. and click-through rates In controlled trials conducted by retailers using this technology New level page optimization Revenue Optimization and repeat purchase patterns Now available to retailers worldwide!!2. More personalized search and results with ML : Google Cloud has launched AI-powered personalization capabilities that tailor the results customers receive when they search. and browse the retailer's website.
This technology powers new Google Cloud browsing features and Retail Search germany phone no solutionsare product pattern recognizers that guide customer behavior on e-commerce websites , for example. purchase Clicking shopping cart Other information This data is used to determine shoppers' tastes and preferences. AI then promotes products that match those preferences in search and browse rankings for personalized results.As with all Google Cloud solutions, customers own and control their data. whereas information about customer preferences resides with the retailer. 3. AI transforms the digital window shopping experience: To help retailers create an online browsing experience.
and finding natural products and respond more to the needs of buyersTherefore, Google Cloud has launched a new AI-powered browsing feature in its Discovery AI solution for retailers. This capability uses ML to optimize product ordering, such as which products buyers see first. On the retailer's e-commerce website When shoppers select a category like "Women's Jackets" or "KitchenwareThen, over time, the AI learns the most appropriate ordering for each page on an ecommerce website. using historical data Optimize displayed methods and products for accuracy. Relevance and the likelihood of being purchasedAnd this feature can be used on a variety of e-commerce website pages.
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