By recommending products to customers, you can prevent customers from churning while doing customized marketing to customers who do not know what products they need. When customers are concerned about which products to purchase, recommending products can relieve them of worries, or if you can proactively identify and propose the products to customers they need, the seller can generate revenue, and the customer can make a reasonable and efficient shopping.
Through analysis of customer reviews, interpretation of consumer data such as customer profile information and demographics, DS2.AI can quickly learn purchasing behavior patterns and recommend products tailored to user profiles and habits. The product recommendation system is a great marketing tool and is useful for increasing your business' profits.
|Data||Data type||Content||Use mode|
|Input data||CSV||Customer data (age, gender, style, etc.)
Purchase data (purchased products, satisfaction, etc.)
|Output data||CSV||Recommended product
|Payment||Subscription method||Attached file upon application|
|Prepaid charge||Online||Customer data required for model creation|
|API Setting||$1,800 ~|