{"id":72829,"date":"2026-01-14T07:27:22","date_gmt":"2026-01-13T23:27:22","guid":{"rendered":"http:\/\/www.upgrademag.com\/web\/?p=72829"},"modified":"2026-01-14T02:30:25","modified_gmt":"2026-01-13T18:30:25","slug":"shoppers-turn-to-ai-for-help-during-their-buying-journeys","status":"publish","type":"post","link":"http:\/\/www.upgrademag.com\/web\/2026\/01\/14\/shoppers-turn-to-ai-for-help-during-their-buying-journeys\/","title":{"rendered":"Shoppers turn to AI for help during their buying journeys"},"content":{"rendered":"<p><strong>Generative AI is reshaping the first steps of our shopping experience before we ever click &#8220;buy.&#8221; From hyper-personalized suggestions to curated inspiration, influence now begins long before a store visit or app tap, moving where brands and retailers compete to an entirely new level.<\/strong><\/p>\n<p>A new\u00a0<a href=\"https:\/\/www.ibm.com\/thought-leadership\/institute-business-value\/en-us\/report\/agentic-commerce\" target=\"_blank\" rel=\"nofollow noopener\">global study<\/a> from the IBM Institute for Business Value, in collaboration with the National Retail Federation (NRF), found that while nearly three-quarters of surveyed consumers (72%) still shop in stores, almost half (45%) turn to AI for help during their buying journeys. Shoppers still want to see and touch products, but today&#8217;s savvy consumers increasingly arrive with a sense of what they&#8217;re looking for and why. They are using AI to research products (41%), interpret reviews (33%), and hunt for deals (31%).<\/p>\n<p>&#8220;AI is changing how consumers shop, and every aspect throughout the shopping journey,&#8221; notes\u00a0<span class=\"xn-person\">Caroline Reppert<\/span>, Senior Director, AI and Technology Policy at the National Retail Federation, &#8220;As these technologies increasingly guide consumer discovery, comparison, and choice, retailers that understand and respond to this shift will be best positioned to earn trust, relevance, and long-term customer loyalty.&#8221;<\/p>\n<p><b><i>From browsing to guided buying: How AI is shaping choices<\/i><\/b><\/p>\n<p>For leading brands and retailers, this shift toward AI-shaped discovery is prompting a rethink of how and where they engage consumers.<\/p>\n<p>As\u00a0Matthieu Houle, CIO at ALDO Group,\u00a0explains, &#8220;AI is turning shopping into a trusted conversation, much more than a search. Consumers now rely on assistants that feel almost human, know their preferences, and offer neutral, best-for-me advice that reshapes how they validate and decide what to buy.&#8221;<\/p>\n<p>While 35% of surveyed consumers still desire visually appealing stores with no wait times, AI-powered solutions are nearly as important. In fact, one in three consumers seek super apps that combine commerce with other services, 30% want smart homes with AI personal shoppers and autonomous delivery, and 29% look for effortless purchasing through social platforms.<\/p>\n<p>Consumers are growing increasingly accustomed to AI-powered shopping assistants helping them decide what to buy. That expectation, however, is forming faster than most retail operating models can keep pace, forcing the question: Is our data ready to guide and validate what customers ultimately choose?<\/p>\n<p>&#8220;AI is not a magic wand,&#8221; emphasizes\u00a0<span class=\"xn-person\">Stanislas Vignon<\/span>, Head of Insights (AI and Omnichannel) at Louis Vuitton Mo\u00ebt Hennessy (LVMH), &#8220;If you don&#8217;t have the right data, it doesn&#8217;t work. And you must test your solution to know whether it works and where it will bring value.&#8221;<\/p>\n<p><b><i>How brands and retailers can stay ahead of AI-driven consumers<\/i><\/b><\/p>\n<p>As AI transforms how consumers make choices, brands and retailers need to anticipate change and intentionally design experiences that meet shoppers where they are, with focus on:<\/p>\n<ul type=\"disc\">\n<li><b>Redesign the journey around future decision moments.<\/b>\u00a0Identify where consumers will use AI to research, compare, and look for value, and ensure those moments connect seamlessly to purchase.<\/li>\n<li><b>Use agents to reduce uncertainty earlier in the journey.<\/b>\u00a0Put deal-hunting, review interpretation, and personal shopping support where it will help consumers decide, not only where it deflects service volume.<\/li>\n<li><b>Make data readiness and testing non-negotiable.<\/b>\u00a0With more than half of surveyed brand executives (54%) reporting persistent challenges across channels and systems, aligning product and policy truth and testing end-to-end is essential.<\/li>\n<li><b>Amplify what makes the brand distinctive.<\/b>\u00a0Use AI to scale relevance and remove friction while preserving creativity and authentic brand expression.<\/li>\n<li><b>Invest in AI skills and partnerships.\u00a0<\/b>More than half of executives (51%) cite limited AI expertise, underscoring the need to strengthen internal capabilities while partnering strategically to scale AI responsibly and effectively.<\/li>\n<\/ul>\n<p>AI is reshaping where, when, and how decisions are made across every industry. In retail, understanding AI-influenced consumer behavior will become a defining competitive advantage, separating brands and retailers that shape decisions from those that simply fulfill them.<\/p>\n<p>To view the full study, visit:\u00a0<a href=\"https:\/\/www.ibm.com\/thought-leadership\/institute-business-value\/en-us\/report\/agentic-commerce\" target=\"_blank\" rel=\"nofollow noopener\">https:\/\/www.ibm.com\/thought-leadership\/institute-business-value\/en-us\/report\/agentic-commerce<\/a>.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>For leading brands and retailers, this shift toward AI-shaped discovery is prompting a rethink of how and where they engage consumers.<\/p>\n","protected":false},"author":6,"featured_media":72830,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[19,18],"tags":[853,214],"class_list":["post-72829","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-headlines","category-white-papers","tag-artificial-intelligence","tag-ibm"],"_links":{"self":[{"href":"http:\/\/www.upgrademag.com\/web\/wp-json\/wp\/v2\/posts\/72829","targetHints":{"allow":["GET"]}}],"collection":[{"href":"http:\/\/www.upgrademag.com\/web\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"http:\/\/www.upgrademag.com\/web\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"http:\/\/www.upgrademag.com\/web\/wp-json\/wp\/v2\/users\/6"}],"replies":[{"embeddable":true,"href":"http:\/\/www.upgrademag.com\/web\/wp-json\/wp\/v2\/comments?post=72829"}],"version-history":[{"count":1,"href":"http:\/\/www.upgrademag.com\/web\/wp-json\/wp\/v2\/posts\/72829\/revisions"}],"predecessor-version":[{"id":72831,"href":"http:\/\/www.upgrademag.com\/web\/wp-json\/wp\/v2\/posts\/72829\/revisions\/72831"}],"wp:featuredmedia":[{"embeddable":true,"href":"http:\/\/www.upgrademag.com\/web\/wp-json\/wp\/v2\/media\/72830"}],"wp:attachment":[{"href":"http:\/\/www.upgrademag.com\/web\/wp-json\/wp\/v2\/media?parent=72829"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"http:\/\/www.upgrademag.com\/web\/wp-json\/wp\/v2\/categories?post=72829"},{"taxonomy":"post_tag","embeddable":true,"href":"http:\/\/www.upgrademag.com\/web\/wp-json\/wp\/v2\/tags?post=72829"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}