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How AI is disrupting shopping
The time of year has come again when gift-givers must trudge around shops and scroll endlessly through e-commerce websites to find suitable Christmas presents for their loved ones. Some will enjoy browsing. Many will not. A growing number will happily outsource much of the process to artificial intelligence (AI).
AI firms are betting that their technology will disrupt shopping just as e-commerce did in the internet age. Although OpenAI has deprioritised efforts to integrate ads into ChatGPT, it has struck deals with Etsy, an online marketplace for artisanal wares, and Shopify, to allow merchants to sell their wares through its chatbot in return for a fee. Google, whose search engine has long been the starting point for many shoppers, is also eyeing the market for so-called agentic commerce. Users in America can have its AI tools call shops to check stock, track the prices of products and make some purchases on their behalf when deals come up.
Retailers, however, are not standing idly by. Many e-commerce websites have bristled at the idea of an AI agent getting between them and their customers. Amazon, the world's biggest e-emporium, which makes roughly a tenth of its revenue from ads, is eager to keep shoppers coming to its website. It has blocked OpenAI's crawlers from collecting product information, and is suing Perplexity, another AI company, claiming that its Comet agent has been prancing around Amazon's website masquerading as a human (Perplexity denies the accusations).
Others have been more open-minded. In October Walmart, Amazon's long-time rival, announced that its products would soon be available to purchase directly through ChatGPT. Such deals may help retailers reach customers they otherwise would not have. Analysts at Mizuho, a bank, reckon that 4% of visits to Walmart's website come from referrals, of which ChatGPT provides a third.
Doug McMillon, Walmart's outgoing chief executive, has acknowledged that online shopping needs to move beyond “a search bar” and “a long list”. Some retailers, including Walmart, have developed shopping assistants of their own. Research by Accenture, another consultancy, suggests that Americans prefer such bots over third-party ones like ChatGPT when shopping (see chart 2).
That may reflect the challenge of integrating external AI tools with retailers' data. On a recent earnings call Andy Jassy, Amazon's boss, pilloried third-party shopping agents: “There's no personalisation. There's no shopping history. The delivery estimates are frequently wrong. The prices are often wrong.” (Amazon offers its own assistant, Rufus, which it says has been used by 250m customers this year.)
Julie Bornstein, founder of Daydream, an AI fashion-shopping tool, points out that chatbots are more helpful when searching for some goods than others. They excel when products have clear, comparable specifications—vacuum cleaners, for instance, where retailers list weight and power. They perform tolerably with products that involve a combination of specifications and personal preferences, like cosmetics. But in deeply personal realms, such as fashion, most flounder. “Taste-based categories are just completely different,” Ms Bornstein says. “It's not about the specifications of the product. It's about the feel of the product, the vibe of the product.”
How enthusiastically consumers embrace AI for shopping may also depend on the extent to which chatbot-makers turn to ads to make money. Walmart is already experimenting with them in its shopping assistant, Sparky, and Google has reportedly told marketers in recent days that it will integrate ads into its Gemini chatbot next year. That could undermine the perceived objectivity of these tools, and thus turn off shoppers.
In the meantime, brands are busily looking for other ways to persuade chatbots to recommend their products. “Search-engine optimisation” is giving way to “generative-engine optimisation”. Lily AI, a software firm, has amassed data on the language users plug into chatbots and embeds that into its clients' websites. Whereas a company might list a “French terry” top in “midnight blue” in its “athleisure” section, customers simply ask chatbots for “navy hoodies”, explains Purva Gupta, Lily AI's founder.
Mandeep Bhatia of Tapestry, which owns fashion brands including Coach and Kate Spade, adds that brands need to appear in the material that AI agents trawl through. Muck Rack, a public-relations-software firm, examined more than a million links cited by popular chatbots in July and found that company websites or press releases appeared only 18% of the time, compared with 25% for news websites, the most frequently cited source. Chatbots also seem to favour fresh content. For Tapestry, fashion blogs and glossy magazines are proving paramount, notes Mr Bhatia.
A surprising consequence of all this may be that, as AI upends online shopping, physical stores gain renewed importance. With browsing shifting away from retailers' and brands' own websites, shops with striking displays and charming assistants will offer another way for companies to shape how they are perceived. Three-quarters of the respondents in Shopify's survey this year said that they value human interactions when shopping, up from just over half in 2024. Plenty of shoppers still want to touch and feel certain types of products, such as clothes. And at this time of year, heading to the high street offers a chance to soak up the festive cheer.
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Source: HindustanTimes
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