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AI shopping could drive $263 billion in holiday sales. Walmart and Target are racing to get in
Holiday shopping has always felt like a "chore" for Amrita Bhasin. Between deciding what to buy, comparing prices and checking reviews, the 24-year-old retail tech CEO said she spent more than 15 hours each year buying gifts for her friends and family, a process that took the joy out of giving. But this year, Bhasin said she did all of her shopping in a fraction of the time and even had a little "fun" -- all thanks to her new personal assistant: ChatGPT. "I feel like I've got that physical store associate that I'm talking to, so I feel like I'm getting better recommendations. I actually think my tendency to buy is higher because of ChatGPT," Bhasin, based in Menlo Park, California, told CNBC. "It has really changed the game." Bhasin is one of the many shoppers turning to AI platforms like OpenAI's ChatGPT, Google's Gemini and Perplexity this holiday season to help them buy gifts for their loved ones, and maybe a few for themselves, too. Whether consumers use them to get gift ideas or compare prices, AI platforms are poised to reshape the shopping experience and drive billions in revenue this holiday season as it becomes harder to get discovered on traditional search platforms. In a report published last month, Salesforce said it expects AI to drive a staggering $263 billion in global online holiday sales this year, representing 21% of all holiday orders. Though estimates vary widely, surveys conducted by Visa, Zeta Global and other organizations found that between 40% and 83% of consumers plan to use AI for shopping this holiday season. Meanwhile, AI traffic to U.S. retail sites surged 760% between Nov. 1 and Dec. 1, according to Adobe. While AI shopping is in its early stages, initial reads on how shoppers are interacting with it show the opportunity it can bring for retailers. Shoppers arriving on retail websites from generative AI platforms are 30% more likely to buy something and about 14% more engaged than those coming from non-AI sources, meaning they're spending more time on the site and are less likely to leave immediately, Adobe found. These AI-fueled shopping visits now generate 8% more revenue per session, the firm found. AI tools can also help shoppers spot deals and aid lesser-known brands in getting discovered -- about half of the gifts Bhasin bought this year came from brands she'd never shopped before. "It's where consumers are going, because they're just asking questions around, like, 'Hey, where can I find the best gift under $20 for my niece that cares about these things?'" said Kimberly Shenk, the founder and CEO of Novi, a tech firm that helps brands adjust to AI shopping.
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Conversational AI Becomes New Front Door for Holiday Shopping | PYMNTS.com
Retailers expect AI-assisted commerce to play a larger role in how consumers discover, evaluate and purchase products. To prepare, merchants reworked product data, payments infrastructure and discovery systems as conversational tools increasingly shape the path to purchase. As Karen Webster, CEO of PYMNTS, wrote, " Systems designed for human attention and human decision cycles are now interacting with autonomous agents that operate with far more context, speed, precision and consistency than people ever could." That shift is forcing retailers to rethink commerce experiences that were built around search bars, scrolling and clicks, and to adapt for environments where AI intermediates the shopping journey. Retailers are treating conversational interfaces as a new commerce surface where content, discovery and payments converge. PYMNTS Intelligence found that 42% of shoppers used AI assistants during Black Friday to find discounts, 35% to track prices and 31% to compare products. Major retailers are already moving in that direction. Walmart, Target and Etsy have integrated with OpenAI to enable shopping inside ChatGPT, while smaller merchants are restructuring product listings to surface in AI-generated answers rather than traditional search results. Nik Sathe, CTO of Blackhawk Network, framed the shift as spanning the entire customer journey. "When I think about AI, I really think about it in three categories: helping consumers find the right product, helping them transact, and then helping them use what they've purchased," he told PYMNTS. As conversational shopping scales, retailers are moving away from keyword-driven search optimization toward richer, context-aware product data. Target told CNBC that conversational phrasing now accounts for about 25% of customer searches, prompting the retailer to expand product descriptions with contextual details such as sustainability attributes, use cases and seasonal relevance. Prat Vemana, Target's chief information and product officer, said the company is publishing richer merchandise descriptions to improve visibility inside AI-generated responses. In November, Target announced that customers could complete multi-item purchases, including groceries, directly through ChatGPT. The company said thousands of shoppers have already used its AI-powered Gift Finder, with early results showing higher engagement and larger average cart sizes. As reported by PYMNTS, Walmart also announced a similar partnership with OpenAI in October as part of a broader shift toward AI-native commerce. Amazon has taken a different path, developing its own proprietary AI shopping assistant, Rufus, rather than integrating with third-party conversational platforms. The company said more than 250 million customers have used the assistant this year. Smaller brands are also adjusting ahead of the holiday rush. Michael Wieder, co-founder of baby goods retailer Lalo, told CNBC his team now structures product listings around the questions consumers are likely to ask AI assistants. Instead of emphasizing specifications alone, Lalo incorporates phrases such as "good for small spaces" to align with conversational queries that drive AI discovery. Beyond discovery, retailers are also preparing for AI-native checkout flows that compress discovery and transaction into a single interface. OpenAI launched Instant Checkout with Etsy in September, enabling single-item purchases without leaving ChatGPT. The AI chatbot has since expanded its integrations with Shopify merchants, including Skims and Vuori, and charges transaction fees on purchases made on its platform. As retailers experiment with AI-driven discovery and checkout, Sathe cautioned that consumer trust will shape how far automation can go during the holidays. While shoppers may welcome assistance with repeatable, low-stakes purchases, they remain wary of surrendering judgment on more personal decisions. "Consumers will want the convenience of having an agent do things for them, but they're not going to give up control entirely," he said. "Some purchases are objective and repeatable; others are subjective and personal." That distinction is already influencing how retailers deploy AI ahead of peak season. AI tools are gaining traction where speed, price comparison and replenishment matter most, while traditional browsing remains dominant for categories tied to taste, fit and preference. Sathe said the shift will be incremental rather than disruptive, with merchants layering AI into existing journeys instead of replacing them outright.
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AI shopping is transforming the holiday season, with Salesforce projecting $263 billion in global online holiday sales driven by AI platforms. Major retailers like Walmart and Target are rapidly integrating conversational AI tools like ChatGPT, while shoppers embrace AI assistants for gift recommendations and price comparisons. Early data shows AI-driven shopping visits generate 8% more revenue per session.
Holiday shopping is undergoing a fundamental shift as conversational AI platforms reshape how consumers discover and purchase gifts. Salesforce projects that AI shopping will drive $263 billion in global online holiday sales this year, representing 21% of all holiday orders
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. Between 40% and 83% of consumers plan to use AI for shopping this holiday season, according to surveys conducted by Visa and Zeta Global1
. Adobe data reveals that AI traffic to U.S. retail sites surged 760% between Nov. 1 and Dec. 1, signaling a dramatic acceleration in AI-driven shopping behavior1
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Source: PYMNTS
The numbers tell a compelling story about consumer engagement. Shoppers arriving on retail websites from generative AI platforms are 30% more likely to buy something and about 14% more engaged than those coming from non-AI sources, spending more time on sites and showing lower bounce rates
1
. These AI-fueled shopping visits now generate 8% more revenue per session, according to Adobe1
. For shoppers like Amrita Bhasin, a 24-year-old retail tech CEO, ChatGPT has transformed a 15-hour annual chore into an efficient and even enjoyable experience1
.Major retailers are treating conversational interfaces as critical new commerce surfaces. Walmart, Target and Etsy have integrated with OpenAI to enable shopping directly inside ChatGPT, while smaller merchants restructure product listings to surface in AI-generated answers
2
. Target announced in November that customers could complete multi-item purchases, including groceries, directly through ChatGPT2
. Thousands of shoppers have already used Target's AI-powered Gift Finder, with early results showing higher engagement and larger average cart sizes2
.Prat Vemana, Target's chief information and product officer, revealed that conversational phrasing now accounts for about 25% of customer searches, prompting the retailer to expand product descriptions with contextual details such as sustainability attributes, use cases and seasonal relevance
2
. Walmart announced a similar partnership with OpenAI in October as part of a broader shift toward AI-native commerce2
. Amazon has taken a different approach, developing its proprietary AI shopping assistant Rufus, which more than 250 million customers have used this year2
.Retailers are moving away from keyword-driven search optimization toward richer, context-aware product data. AI assistants for product discovery help shoppers navigate complex decisions by understanding natural language queries. PYMNTS Intelligence found that 42% of shoppers used AI assistants during Black Friday to find discounts, 35% to track prices and 31% to compare products
2
. This shift benefits lesser-known brands seeking visibility—about half of the gifts Bhasin bought this year came from brands she'd never shopped before1
.Michael Wieder, co-founder of baby goods retailer Lalo, told CNBC his team now structures product listings around questions consumers are likely to ask AI assistants, incorporating phrases such as "good for small spaces" to align with conversational queries
2
. Kimberly Shenk, founder and CEO of Novi, a tech firm helping brands adjust to AI shopping, noted that consumers are simply asking questions like "where can I find the best gift under $20 for my niece that cares about these things?"1
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Beyond discovery, retailers are preparing for AI-native checkout experiences that compress discovery and transaction into a single interface. OpenAI launched Instant Checkout with Etsy in September, enabling single-item purchases without leaving ChatGPT
2
. The platform has since expanded integrations with Shopify merchants, including Skims and Vuori, and charges transaction fees on purchases made through its platform2
.Nik Sathe, CTO of Blackhawk Network, told PYMNTS that AI spans the entire customer journey: "When I think about AI, I really think about it in three categories: helping consumers find the right product, helping them transact, and then helping them use what they've purchased"
2
. As Karen Webster, CEO of PYMNTS, observed, "Systems designed for human attention and human decision cycles are now interacting with autonomous agents that operate with far more context, speed, precision and consistency than people ever could"2
.Consumer trust in AI-driven commerce remains a critical factor determining how far automation can extend during the holidays. While shoppers welcome assistance with repeatable, low-stakes purchases, they remain cautious about surrendering judgment on personal decisions. "Consumers will want the convenience of having an agent do things for them, but they're not going to give up control entirely," Sathe said. "Some purchases are objective and repeatable; others are subjective and personal"
2
.AI for gift recommendations and price comparison tools are gaining traction where speed and efficiency matter most, while traditional browsing remains dominant for categories tied to taste, fit and preference. Sathe indicated the shift will be incremental rather than disruptive, with merchants layering AI into existing journeys instead of replacing them outright
2
. Large language models are forcing retailers to rethink commerce experiences built around search bars, scrolling and clicks, adapting for environments where AI intermediates the shopping journey2
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