{"id":10809,"date":"2022-09-08T06:49:40","date_gmt":"2022-09-08T06:49:40","guid":{"rendered":"https:\/\/dgbrew.com\/staging\/visenze\/?p=10809"},"modified":"2022-11-04T07:28:18","modified_gmt":"2022-11-04T07:28:18","slug":"visual-recommendations-are-the-next-big-thing-in-fashion-ecommerce","status":"publish","type":"post","link":"https:\/\/dgbrew.com\/staging\/visenze\/blog\/2022\/09\/08\/visual-recommendations-are-the-next-big-thing-in-fashion-ecommerce\/","title":{"rendered":"Visual Recommendations are the next big thing in Fashion Ecommerce"},"content":{"rendered":"\n

Style is unique\u2014everyone has their own preferences when it comes to what to wear.<\/p>\n\n\n\n

Fashion retailers are tasked with helping shoppers find their ideal products\u2014whether that\u2019s shirts, trousers, sunglasses, or any other fashion must-have.<\/p>\n\n\n\n

How<\/em> do they do that?<\/p>\n\n\n\n

With visual recommendations, that\u2019s how.<\/p>\n\n\n\n

Retailers must embrace new technology to increase sales and continue to meet shopper needs. Let\u2019s take a look at how visual ecommerce product recommendations can change the game for fashion ecommerce.<\/p>\n\n\n\n

Why fashion ecommerce sites get recommendations wrong<\/h2>\n\n\n\n

Put simply, fashion sites get recommendations wrong because they don\u2019t personalize suggestions to each shopper. They recommend products based on the site visitor\u2019s demographic details, such as age, geography, and income.<\/p>\n\n\n\n

For many types of ecommerce sites, generic recommendations just don\u2019t work.<\/em> Fashion is one example of this\u2014demographic-informed suggestions rarely provide unique recommendations for individual users. <\/p>\n\n\n\n

AI-powered visual recommendations do much, much more<\/em>\u2014let\u2019s take a look.<\/p>\n\n\n\n

How do visual recommendations work?<\/h2>\n\n\n\n

Visual recommendations in ecommerce use AI vision and machine learning to provide product recommendations to your online shoppers. It goes further than identifying the items in the image\u2014such as distinguishing a shirt from a sweater\u2014by considering more detailed information. This includes information on the product\u2019s material, cut, color, and more.<\/p>\n\n\n\n

AI recommendations consider the browsing and purchase history of your shoppers to provide more relevant recommendations\u2014leading to 8% more revenue per session. These recommendations help to drive sales<\/a> in a number of shopper situations:<\/p>\n\n\n\n

    \n
  1. Similar look<\/strong>: shoppers don\u2019t always find exactly <\/em>what they\u2019re looking for in the first product they find. Visual recommendations help bring them one step closer by considering the product in question, alongside browsing history, to provide similar products online shoppers are more interested in.<\/li>\n\n\n\n
  2. Shop the look<\/strong>: enable shoppers to easily identify and shop other items included on a product display page (PDP). For example, say the PDP is for a pair of shorts but the model is also wearing a bracelet and a pair of shoes. Visual recommendations give shoppers the chance to easily find these items in your product catalog by displaying them as product recommendations.<\/li>\n\n\n\n
  3. Complete the look<\/strong>: AI vision can also offer complementary product recommendations based on style and occasion. This gives shoppers personalized recommendations for adding to their look with items like shoes, sunglasses, bags, and more.<\/li>\n<\/ol>\n\n\n\n

    Smart Recommendations<\/a> helps shoppers see\u2014and purchase\u2014their most preferred products immediately, without having to browse the entire product catalog.<\/p>\n\n\n\n

    \"\"<\/figure>\n\n\n\n

    How are visual recommendations different?<\/h2>\n\n\n\n

    AI visual recommendations offer more accurate product recommendations to shoppers by considering purchasing and browsing history. This enables your ecommerce site to show more accurate, relevant recommendations to shoppers\u2014whether on your website or in retargeting emails.<\/p>\n\n\n\n

    There are a number of ways that visual product recommendation systems outperform traditional, solely demographic-based recommendations.<\/p>\n\n\n\n

    Visual recommendations improve the customer experience<\/strong><\/p>\n\n\n\n

    AI-powered visual recommendations provide better product suggestions to your customers. When 86% of buyers will pay more for a better customer experience<\/a>, optimizing all aspects of the buying process is a must<\/em> for fashion ecommerce retailers.<\/p>\n\n\n\n

    Smart Recommendations<\/a> will display products that are hyper-relevant to each individual shopper. This means you\u2019re not just selling products, you\u2019re giving your customers a direct path to shop your complete brand look and lifestyle.<\/p>\n\n\n\n

    Visual recommendations increase ecommerce conversion rates<\/strong><\/p>\n\n\n\n

    Using visual recommendations for products leads to more conversions than providing generic recommendations. Visual AI recognizes products within images and returns recommendations relevant to the specific item being viewed. <\/p>\n\n\n\n

    The visual approach is a better indicator of customer intent and has been proven to uplift click-through rate by 30%, and conversion rates by 1%-9%<\/p>\n\n\n\n

    Visual recommendations work faster<\/strong><\/p>\n\n\n\n

    Visual Recommendations go further than text search and empower shoppers with an intuitive product discovery based on product images. This makes website navigation quicker and easier for shoppers\u2014allowing them to find what they\u2019re looking for, faster.<\/p>\n\n\n\n

    Plus, AI-powered visual recommendations save you<\/em> time, too. Manually tagging and organizing an entire product catalog is time-consuming and inefficient. Opting for a visual recommendation solution\u2014like ViSenze\u2014can reduce manual tagging effort by up to 45%\u2014a win-win.<\/p>\n\n\n\n

    Visual recommendations don\u2019t need customer data<\/strong><\/p>\n\n\n\n

    Optimizing your ecommerce site with visual recommendations doesn\u2019t require the same personal details that demographic-based recommendations require. You don\u2019t have to secure the same personal information\u2014or deal with the legal responsibilities associated with collecting and holding them.<\/p>\n\n\n\n

    Visual recommendations for your fashion ecommerce business<\/h2>\n\n\n\n

    Ecommerce is changing, and brands need to keep up to continue meeting the evolving needs of online shoppers. Providing a better customer experience helps position your ecommerce brand as a leading brand, and leads to increased conversion rates and customer retention.<\/p>\n\n\n\n

    Plus, getting started is easy.<\/p>\n\n\n\n

    Simply install the ViSenze app on the Shopify store, sign up to the ViSenze Discovery Suite platform, and get started. From there you can connect and import your product catalog, let the catalog enrichment solution work its product tagging magic, and publish the tags to your Shopify store to enrich the customer\u2019s ecommerce site search experience. <\/p>\n\n\n\n

    Download ViSenze on Shopify<\/a> today to start benefitting from increased organic traffic, a lower drop-off rate, and increased AOV\u2014all while reducing manual tagging effort.<\/p>\n","protected":false},"excerpt":{"rendered":"

    Style is unique\u2014everyone has their own preferences when it comes to what to wear. Fashion retailers are tasked with helping shoppers find their ideal products\u2014whether that\u2019s shirts, trousers, sunglasses, or any other fashion must-have. How do they do that? With visual recommendations, that\u2019s how. Retailers must embrace new technology to increase sales and continue to… Read more »<\/a><\/p>\n","protected":false},"author":12,"featured_media":10827,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[17],"tags":[24,27,99,88,22,87,30,33,47],"class_list":["post-10809","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-ecommerce","tag-artificialintelligence","tag-ecommerce","tag-fashion","tag-product-discovery","tag-retail","tag-retailai","tag-retailtech","tag-visual-recommendations","tag-visualai"],"acf":[],"yoast_head":"\nVisual Recommendations are the next big thing in Fashion Ecommerce - Visenze<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/dgbrew.com\/staging\/visenze\/blog\/2022\/09\/08\/visual-recommendations-are-the-next-big-thing-in-fashion-ecommerce\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Visual Recommendations are the next big thing in Fashion Ecommerce - Visenze\" \/>\n<meta property=\"og:description\" content=\"Style is unique\u2014everyone has their own preferences when it comes to what to wear. 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