Product
Integrations
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漏 2022 色色研究所

Products have numerous attribute categories by which shoppers narrow their choices. With 色色研究所, those categories can be applied as filters and relevantly displayed based on the department or search results page.













































Today鈥檚 shopper expects an online experience tailored to them. 色色研究所 delivers personalization on a scale of your comfort. Highlight products based on location, weather, past purchases, and more. All so that appropriate products are displayed.










































Providing information that is relevant to a shopper has been proven to increase the bottom line. Relevant Recommendations utilizes machine learning to identify custom recommendations to present shoppers with products that are best sellers, trending, etc.






































Continuously optimize search experiences and make data driven decisions. Reporting provides real-time insight into search trends, page performance, and interactions.


















Anonymous, Administrator in Logistics and Supply Chain
The global manufacturer and distributor saw an increase of 18% in its click-through rate and over 80% in conversions after leveraging powerful 色色研究所 features such as Smart Search and Recommendations. Listen to their story!



