{"id":8020,"date":"2025-11-05T11:00:00","date_gmt":"2025-11-05T11:00:00","guid":{"rendered":"https:\/\/lab9.co\/?p=8020"},"modified":"2025-10-31T20:51:26","modified_gmt":"2025-10-31T20:51:26","slug":"https-lab9-co-blog-ia-en-primera-linea-del-comercio-walmart-chatgpt-ai-first-shopping","status":"publish","type":"post","link":"https:\/\/lab9.co\/en\/https-lab9-co-blog-ia-en-primera-linea-del-comercio-walmart-chatgpt-ai-first-shopping\/","title":{"rendered":"AI on the Frontline of Commerce: Walmart, ChatGPT and the \u2018AI-First Shopping\u2019 Model"},"content":{"rendered":"

From the cart to the chat: Walmart bets on conversational commerce<\/strong><\/p>\n\n\n\n

Walmart, the world\u2019s largest retailer, has just taken a decisive step toward AI-first shopping. In partnership with OpenAI, it\u2019s integrating ChatGPT directly into its online and in-store shopping ecosystem\u2014allowing users to plan meals, restock essentials, and even complete purchases inside the same chat.<\/p>\n\n\n\n

What used to be a text-based search now becomes a natural conversation:<\/p>\n\n\n\n

\u201cPlan a weekday taco dinner,\u201d or \u201cReorder my usual groceries.\u201d<\/em><\/p>\n\n\n\n

ChatGPT replies with curated product lists, contextual recommendations, and instant payment options\u2014all without leaving the conversation.<\/p>\n\n\n\n

This model not only enhances user experience but also introduces a new paradigm: \u201cagentic commerce,\u201d where AI doesn\u2019t just respond to customers but anticipates what they\u2019ll need next.<\/p>\n\n\n\n

The evolution of retail: from static search to contextual experience<\/strong><\/p>\n\n\n\n

Doug McMillon, Walmart\u2019s President and CEO, summed it up clearly:<\/p>\n\n\n\n

\u201cThe next generation of AI experiences will be multimedia, personalized, and contextual.\u201d<\/em><\/p>\n\n\n\n

Walmart is shifting from simple search bars to multimodal, conversational experiences that blend text, voice, imagery, and real-time behavioral data.<\/p>\n\n\n\n

This means AI now understands not only what customers say, but also the context behind every need\u2014habits, schedules, weather, purchase history, or even trending recipes.<\/p>\n\n\n\n

AI is no longer support tech; it\u2019s the invisible core orchestrating assortment, recommendation, purchase, and payment in one continuous flow.<\/p>\n\n\n\n

Generative AI in action: fashion, replenishment, and operational efficiency<\/strong><\/p>\n\n\n\n

Walmart has been integrating generative AI for years across multiple areas of its business:<\/p>\n\n\n\n

Predictive fashion: using AI to detect trends and accelerate the launch of new collections.<\/p>\n\n\n\n

Smart replenishment: systems that predict when customers will need specific products and automate restocking.<\/p>\n\n\n\n

Sam\u2019s Club + AI: leveraging computer vision to eliminate long checkout lines for receipt verification.<\/p>\n\n\n\n

Generative search: internal engines that deliver personalized results, complementary products, and relevant multimedia content.<\/p>\n\n\n\n

All of this translates into operational efficiency, faster decision-making, and frictionless experiences\u2014both online and in stores.<\/p>\n\n\n\n

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

The AI-first shopping model: from clicks to context<\/strong><\/p>\n\n\n\n

Walmart\u2019s new AI-first shopping model redefines the customer journey.<\/p>\n\n\n\n

Each interaction becomes a dynamic conversation, where AI acts as a predictive assistant\u2014understanding intent, resolving doubts, and closing sales.<\/p>\n\n\n\n

This doesn\u2019t just increase conversion; it also reduces cognitive effort for the buyer, who no longer needs to search, compare, or choose among thousands of options. The system does it for them\u2014based on data and context.<\/p>\n\n\n\n

What smaller businesses can learn<\/strong><\/p>\n\n\n\n

Even though Walmart and OpenAI operate at massive scale, small and midsize businesses can apply the same logic gradually:<\/p>\n\n\n\n

Purpose-driven chatbots: automate FAQs, capture leads, and route complex inquiries to humans.<\/p>\n\n\n\n

Smart recommenders: offer complementary products based on customer behavior.<\/p>\n\n\n\n

Automated service: coordinate support, inventory, and orders with low-code tools or IA + CRM integrations.<\/p>\n\n\n\n

Data-driven decisions: use predictive analytics to adjust pricing, promotions, and delivery times.<\/p>\n\n\n\n

The goal isn\u2019t to copy Walmart\u2014it\u2019s to design a smarter, more human, and more efficient shopping experience.<\/p>\n\n\n\n

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

Toward intelligence-centered retail<\/strong><\/p>\n\n\n\n

The next frontier of commerce isn\u2019t about who has more products, but who understands customers better\u2014in real time.<\/p>\n\n\n\n

AI isn\u2019t here to replace sellers; it\u2019s here to amplify human decision-making: helping each brand listen better, anticipate more, and act faster.<\/p>\n\n\n\n

In short, Walmart and OpenAI are signaling the beginning of a new era: that of intelligent, conversational commerce.<\/p>\n\n\n\n

While traditional searches fade into the background, the future will be written through dialogues with AI\u2014systems that understand what we want before we even say it.<\/p>\n\n\n\n

\ud83d\udc49 At Lab9, we help companies apply artificial intelligence, automation, and agile methodologies to scale their sales channels and build shopping experiences that run on their own.<\/p>\n\n\n\n

Want to turn your eCommerce into an intelligent experience? [Contact us today]<\/a>.<\/p>\n\n\n\n

<\/p>","protected":false},"excerpt":{"rendered":"

Del carrito al chat: Walmart apuesta al comercio conversacional Walmart, el minorista m\u00e1s grande del mundo, acaba de dar un paso decisivo hacia el AI-first shopping. En asociaci\u00f3n con OpenAI, est\u00e1 integrando ChatGPT directamente en su ecosistema de compra online y f\u00edsica, permitiendo a los usuarios planificar comidas, reabastecer productos esenciales e incluso pagar dentro […]<\/p>","protected":false},"author":8,"featured_media":8039,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[1,36],"tags":[108,94,51,74,64],"class_list":["post-8020","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-blog","category-innovation","tag-ia","tag-innovacion","tag-metodologias-agiles","tag-optimizacion-web","tag-tecnologia"],"_links":{"self":[{"href":"https:\/\/lab9.co\/en\/wp-json\/wp\/v2\/posts\/8020","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/lab9.co\/en\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/lab9.co\/en\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/lab9.co\/en\/wp-json\/wp\/v2\/users\/8"}],"replies":[{"embeddable":true,"href":"https:\/\/lab9.co\/en\/wp-json\/wp\/v2\/comments?post=8020"}],"version-history":[{"count":0,"href":"https:\/\/lab9.co\/en\/wp-json\/wp\/v2\/posts\/8020\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/lab9.co\/en\/wp-json\/wp\/v2\/media\/8039"}],"wp:attachment":[{"href":"https:\/\/lab9.co\/en\/wp-json\/wp\/v2\/media?parent=8020"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/lab9.co\/en\/wp-json\/wp\/v2\/categories?post=8020"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/lab9.co\/en\/wp-json\/wp\/v2\/tags?post=8020"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}