{"id":34501,"date":"2024-06-07T07:00:00","date_gmt":"2024-06-07T14:00:00","guid":{"rendered":"https:\/\/cloudinary.com\/blog\/?p=34501"},"modified":"2024-08-01T01:11:22","modified_gmt":"2024-08-01T08:11:22","slug":"ai-e-commerce-trends-redefining-online-retail","status":"publish","type":"post","link":"https:\/\/cloudinary.com\/blog\/ai-e-commerce-trends-redefining-online-retail","title":{"rendered":"AI in E-commerce: 4 Trends Redefining Online Retail in 2024"},"content":{"rendered":"\n<p>Including generative AI in your e-commerce strategy isn\u2019t just a choice. It\u2019s a necessity.&nbsp;&nbsp;&nbsp;<\/p>\n\n\n\n<p>Brands that leverage AI algorithms to decipher consumer preferences, curate hyper-personalized shopping journeys, and deliver the omnichannel experiences that increase customer satisfaction and brand loyalty, are the brands that will be here for the long haul.<\/p>\n\n\n\n<p>Here are some of the top AI trends shaping the future of e-commerce.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\">1. Hyper-Personalized Shopping Experiences<\/h2>\n\n\n\n<p><a href=\"https:\/\/hyken.com\/research\/\">More than 80% of customers<\/a> prefer companies that provide a personalized shopping experience, and <a href=\"https:\/\/cxtrends.zendesk.com\/\">70% of shoppers<\/a> spend more with companies that offer personalization. As important, personalization reduces customer acquisition costs <a href=\"https:\/\/www.mckinsey.com\/featured-insights\/mckinsey-explainers\/what-is-personalization\">by up to 50%<\/a>, increases revenue by 5%-15%, and boosts marketing ROI by 10%-30%.<\/p>\n\n\n\n<p>With all its proven benefits, it\u2019s no surprise that online retailers believe AI-powered personalization will impact their businesses <a href=\"https:\/\/www.bolt.com\/blog\/2024-Ecommerce-Priorities-and-Predictions?utm_group=marketing&amp;utm_source=linkedin&amp;utm_medium=paid-ads&amp;utm_campaign=bolt_us_engagement_paid-social_bolt-2024-report__&amp;utm_content=______\">more than any other trend in 2024<\/a>. AI is assisting brands in delivering the personalized shopping experiences customers <a href=\"https:\/\/www.mckinsey.com\/featured-insights\/mckinsey-explainers\/what-is-personalization\">want most<\/a>, like relevant shopping recommendations, reminders when a product comes back in stock, and a seamless experience across in-store and digital platforms.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\">2. Visual Search<\/h2>\n\n\n\n<p>Visual search tools like <a href=\"https:\/\/lens.google\/\">Google Lens<\/a> and <a href=\"https:\/\/help.pinterest.com\/en\/article\/pinterest-lens\">Pinterest Lens<\/a> have exploded in popularity over the past few years, with Google Lens now having <a href=\"https:\/\/blog.google\/products\/search\/generative-ai-search\/\">12 billion visual searches<\/a> monthly, four times the number of searches it had two years ago. The human brain can detect meaning from an image in as little as <a href=\"https:\/\/pubmed.ncbi.nlm.nih.gov\/24374558\/\">13 milliseconds<\/a>, and <a href=\"https:\/\/www.medill.northwestern.edu\/news\/2019\/intent-lab-research-visual-search.html\">research shows<\/a> that 59% think visual information is more important than textual information.<\/p>\n\n\n\n<p>Today, more brands are leveraging search engines and social media platforms to allow customers to search for photos rather than text listings. Some platforms encourage their customers to use their mobile device\u2019s camera to take pictures, and image recognition software delivers search results with similar items or products. Since the human brain processes images <a href=\"https:\/\/www.science.org\/doi\/10.1126\/sciadv.aaw2594\">much faster than words<\/a>, shoppers can use visual search to find the products they\u2019re seeking quickly and efficiently.&nbsp;<\/p>\n\n\n\n<h2 class=\"wp-block-heading\">3. Chatbots and Virtual Assistants<\/h2>\n\n\n\n<p>Purchases made through voice assistants are expected to go from<a href=\"https:\/\/www.statista.com\/statistics\/1186644\/smart-home-devices-voice-assistant-transactions\/#:~:text=The%20total%20worldwide%20transaction%20value,billion%20U.S.%20dollars%20in%202025.\"> $22 billion in 2020<\/a> to $164 billion in 2025. Similarly, chatbots and conversational marketing are one of the fastest-growing communication channels for brands, with a market expected to grow by <a href=\"https:\/\/www.precedenceresearch.com\/conversational-ai-market\">nearly 24%<\/a> from 2023 to 2032.<\/p>\n\n\n\n<p>Brands are capitalizing on this technology in 2024 to meet consumer demand, gain a competitive advantage, and offer more convenient, seamless experiences. The average voice search loads <a href=\"https:\/\/backlinko.com\/voice-search-seo-study\">52% faster than the average webpage<\/a>, meaning consumers are more likely to use the tool for fast and easy shopping. Likewise, brands that implement chatbots can boost e-commerce revenue <a href=\"https:\/\/chatbotsmagazine.com\/the-complete-guide-to-conversational-commerce-e47059293efa\">by 7%-25%<\/a>.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\">4. Predictive Analytics for Inventory Management<\/h2>\n\n\n\n<p>The global cost of inventory stockouts and overstocks reached <a href=\"https:\/\/www.retailtouchpoints.com\/features\/industry-insights\/ihl-study-inventory-distortion-will-cost-retailers-1-77-trillion-in-2023#:~:text=IHL%20Study%3A%20Inventory%20Distortion%20Will%20Cost%20Retailers%20%241.77%20Trillion%20in%202023,-July%2031%2C%202023&amp;text=Inventory%20distortion%2C%20whether%20it's%20out,of%20great%20inconvenience%20to%20consumers.\">nearly $1.8 trillion<\/a> in 2023. In the U.S. alone, retailers had a collective <a href=\"https:\/\/www.mckinsey.com\/industries\/retail\/our-insights\/thinking-beyond-markdowns-to-tackle-retails-inventory-glut\">$740 billion in unsold goods<\/a>, but AI-powered predictive analytics is helping brands minimize the damage in 2024. In fact, 2023 figures were down by <a href=\"https:\/\/www.retailtouchpoints.com\/features\/industry-insights\/ihl-study-inventory-distortion-will-cost-retailers-1-77-trillion-in-2023#:~:text=IHL%20Study%3A%20Inventory%20Distortion%20Will%20Cost%20Retailers%20%241.77%20Trillion%20in%202023,-July%2031%2C%202023&amp;text=Inventory%20distortion%2C%20whether%20it's%20out,of%20great%20inconvenience%20to%20consumers.\">$172 billion from 2022<\/a>, proving that the benefits of predictive analytics are already at play.<\/p>\n\n\n\n<p>As e-commerce becomes more competitive, brands are using predictive analytics to anticipate future demand, reduce stockouts, and minimize excess inventory. AI helps produce better, high-quality data, which allows for better stock management and faster order fulfillment. Since consumers prefer <a href=\"https:\/\/hbr.org\/2022\/09\/why-you-should-warn-customers-when-youre-running-low-on-stock\">reliability and transparency<\/a> about inventory, predictive analytics also helps brands boost customer satisfaction.&nbsp;<\/p>\n\n\n\n<p>The rise of personalized shopping experiences, virtual assistants, and visual search underscores the profound impact AI is having on e-commerce. Emerging technologies will further help online retailers meet ever-evolving consumer demands.&nbsp;<\/p>\n\n\n\n<p>Incorporate Cloudinary\u2019s AI technology into your business for online retail and e-commerce success. <a href=\"https:\/\/cloudinary.com\/users\/register_free\">Contact us today<\/a> and see how Cloudinary helps brands deliver fast, flawless visual experiences at scale.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Including generative AI in your e-commerce strategy isn\u2019t just a choice. It\u2019s a necessity.&nbsp;&nbsp;&nbsp; Brands that leverage AI algorithms to decipher consumer preferences, curate hyper-personalized shopping journeys, and deliver the omnichannel experiences that increase customer satisfaction and brand loyalty, are the brands that will be here for the long haul. Here are some of the [&hellip;]<\/p>\n","protected":false},"author":87,"featured_media":34564,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"_cloudinary_featured_overwrite":false,"footnotes":""},"categories":[1],"tags":[336,98],"class_list":["post-34501","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-uncategorized","tag-ai","tag-e-commerce"],"acf":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO Premium plugin v25.6 (Yoast SEO v26.9) - https:\/\/yoast.com\/product\/yoast-seo-premium-wordpress\/ -->\n<title>AI Trends and the Future of Online Retail<\/title>\n<meta name=\"description\" content=\"Check out the top AI trends shaping e-commerce strategies, from personalized shopping journeys to omnichannel experiences that captivate and convert.\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, 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