{"id":15794,"date":"2023-08-02T14:50:00","date_gmt":"2023-08-02T19:50:00","guid":{"rendered":"https:\/\/aipedia.com\/?post_type=ai&p=15794"},"modified":"2023-08-02T01:03:15","modified_gmt":"2023-08-02T06:03:15","slug":"virtual-mannequin-filter","status":"publish","type":"ai","link":"https:\/\/aipedia.com\/ai\/virtual-mannequin-filter\/","title":{"rendered":"Virtual Mannequin Filter"},"content":{"rendered":"\n

What Is Virtual Mannequin Filter?<\/h2>\n\n\n\n

Virtual Mannequin Filter is an advanced AI tool designed to streamline and enhance fashion searches for online shoppers. By utilizing a virtual mannequin, the tool allows customers to personalize their search preferences based on fit and silhouette, resulting in a more accurate and engaging shopping experience. This customization has been proven to boost the average cart size by 1.7 times, indicating higher customer satisfaction and increased sales.<\/p>\n\n\n\n

One of the standout features of Virtual Mannequin Filter is its faceted filters, which outperform traditional single filters. Shoppers are guided through their journey with user-friendly faceted filters, along with visual cues, enabling them to select multiple filters that align with their preferences. This not only helps customers discover products that match their individual tastes but also encourages them to spend more time exploring the product catalog.<\/p>\n\n\n\n

Virtual Mannequin Filter incorporates fashion-trained AI to enable filtering by themes, moods, or occasions. With over 34 thematic tags available, including occasions, vibes, and moods, shoppers can easily find products that suit their specific needs and preferences. The ability to tailor these thematic tags to the retailer’s requirements further enhances customer satisfaction.<\/p>\n\n\n\n

Virtual Mannequin Filter is an innovative AI tool that provides a seamless and personalized shopping experience for fashion enthusiasts. By offering customizable mannequin-based filters, user-friendly faceted filtering, and thematic tagging, it not only boosts customer engagement but also drives sales and customer satisfaction.<\/p>\n","protected":false},"featured_media":15780,"template":"","tool":[34,44,193,945,32,1197,932],"pp_force_visibility":null,"pp_subpost_visibility":null,"pp_inherited_force_visibility":null,"pp_inherited_subpost_visibility":null,"acf":[],"_links":{"self":[{"href":"https:\/\/aipedia.com\/wp-json\/wp\/v2\/ai\/15794"}],"collection":[{"href":"https:\/\/aipedia.com\/wp-json\/wp\/v2\/ai"}],"about":[{"href":"https:\/\/aipedia.com\/wp-json\/wp\/v2\/types\/ai"}],"version-history":[{"count":9,"href":"https:\/\/aipedia.com\/wp-json\/wp\/v2\/ai\/15794\/revisions"}],"predecessor-version":[{"id":15999,"href":"https:\/\/aipedia.com\/wp-json\/wp\/v2\/ai\/15794\/revisions\/15999"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/aipedia.com\/wp-json\/wp\/v2\/media\/15780"}],"wp:attachment":[{"href":"https:\/\/aipedia.com\/wp-json\/wp\/v2\/media?parent=15794"}],"wp:term":[{"taxonomy":"tool","embeddable":true,"href":"https:\/\/aipedia.com\/wp-json\/wp\/v2\/tool?post=15794"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}