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Highly promoted products that work for both sellers and buyers In response to this situation, AIQUA can help businesses "highlight specific products" and recommend them only to shoppers. Suppose that Wonderland wants to focus on specific models of red velvet sofas, retro tea sets, and best-selling pillows this year. Marketers can set these items as "strong recommendations." And since the platform has learned that Alice wants to buy a sofa, the "red velvet sofa" will perfectly appear in Alice's recommendation list.

On the other hand, marketers can also adjust recommended products based on the "specific keywords" Alice entered in the search bar. As mentioned before, Alice wants to buy "clothes" and "furniture", so argentina whatsapp number data 5 million when she searches for "jumpsuits" while looking for furniture, the personalized recommendation system will use this as a clue to recommend the products. The weight is changed to "Jumpsuit" and "Other Clothing".



Focus on personalized recommendations for cross-selling complementary products One of the common phenomena during Double 11 or holiday sales is that consumers are unable to decide what to buy after browsing a large number of products. This situation is especially obvious during holiday sales because the number of products is huge. If the user has purchased the products that he originally planned to purchase, what else can the brand do for her/him? At this point, the Appier algorithm can focus on personalized recommendations for cross-selling complementary products. When Alice has just added a pink jumpsuit to her shopping cart, Wonderland can promptly recommend matching handbags to increase Alice's chances of purchasing.