{"id":75178,"date":"2024-12-11T00:10:04","date_gmt":"2024-12-11T05:10:04","guid":{"rendered":"https:\/\/world.edu\/?p=75178"},"modified":"2024-12-11T00:10:04","modified_gmt":"2024-12-11T05:10:04","slug":"when-ai-goes-shopping-ai-agents-promise-to-lighten-your-purchasing-load-%e2%88%92-if-they-can-earn-your-trust","status":"publish","type":"post","link":"https:\/\/world.edu\/when-ai-goes-shopping-ai-agents-promise-to-lighten-your-purchasing-load-%e2%88%92-if-they-can-earn-your-trust\/","title":{"rendered":"When AI goes shopping: AI agents promise to lighten your purchasing load \u2212 if they can earn your trust"},"content":{"rendered":"

\"\"<\/p>\n

Online shopping often involves endless options and fleeting discounts. A single search for running shoes can yield hundreds of results across multiple platforms, each promising the \u201cbest deal.\u201d The holiday season brings excitement, but it also brings a blend of decision fatigue and logistical nightmares.<\/p>\n

What if there were a tool capable of hunting for the best prices, navigating endless sales and making sure your purchases arrive on time?<\/p>\n

The next evolution in artificial intelligence is\u00a0AI agents<\/a>\u00a0that are capable of autonomous reasoning and multistep problem-solving. AI shopping agents not only suggest what you might like, but they can also act on your behalf. Major retailers and AI companies\u00a0are developing<\/a>\u00a0AI shopping assistants, and the AI company Perplexity released\u00a0Buy with Pro<\/a>\u00a0on Nov. 18, 2024.<\/p>\n

Picture this: You prompt AI to find a winter coat under $200 that\u2019s highly rated and will arrive by Sunday. In seconds, it scans websites, compares prices, checks reviews, confirms availability and places the order, all while you go about your day.<\/p>\n

\"\"

Perpelexity\u2019s recently released AI shopping agent can search for items across the web using multiple free-form variables sucgh as color, size, price and shipping time. Screenshot by Tamilla Triantoro<\/p><\/div>\n

Unlike traditional recommendation engines, AI agents learn your preferences and handle tasks autonomously. The agents are built with\u00a0machine learning and natural language processing<\/a>. They learn from their interactions with the people using them and become smarter and more efficient over time from their collective interactions.<\/p>\n

Looking ahead<\/a>, AI agents are likely to not only master personal shopping needs but also negotiate directly with corporate AI systems. They will not only learn your preferences but will likely be able to book tailored experiences, handle payments across platforms and coordinate schedules.<\/p>\n

As a researcher who\u00a0studies human-AI collaboration<\/a>, I see how AI agents could make the future of shopping virtually effortless and more personalized than ever.<\/p>\n

How AI agents help shoppers<\/strong><\/h4>\n

Marketplaces such as\u00a0Amazon<\/a>\u00a0and\u00a0Walmart<\/a>\u00a0have been using AI to automate shopping.\u00a0Google Lens<\/a>\u00a0offers a visual search tool for finding products.<\/p>\n

Perplexity\u2019s Buy with Pro is a more powerful AI shopping agent. By providing your shipping and billing information, you can place orders directly on the Perplexity app with free shipping on every order. The shopping assistant is part of the company\u2019s\u00a0Perplexity Pro<\/a>\u00a0service, which has free and paid tiers.<\/p>\n

For those looking to build custom AI shopping agents,\u00a0AutoGPT<\/a>\u00a0and\u00a0AgentGPT<\/a>\u00a0are open-source tools for configuring and deploying AI agents.<\/p>\n

Consumers today are\u00a0focused on value<\/a>, looking for deals and comparing prices across platforms. Having an assistant perform these tasks could be a tremendous time saver. But can AI truly learn your preferences?<\/p>\n

A recent study using the GPT-4o model achieved 85% accuracy in\u00a0imitating the thoughts and behaviors<\/a>\u00a0of over 1,000 people after they interacted with the AI for just two hours. This breakthrough finding suggests that digital personas can understand and act on people\u2019s preferences in ways that will transform the shopping experience.<\/p>\n

How AI shopping reshapes business<\/strong><\/h4>\n

AI agents are moving beyond recommendations to autonomously executing complex tasks such as automating refunds, managing inventory and approving pricing decisions. This evolution has already begun to\u00a0reshape how businesses operate<\/a>\u00a0and how consumers interact with them.<\/p>\n

Retailers using AI agents are seeing measurable benefits. Since October 2024, data from the\u00a0Salesforce shopping index<\/a>\u00a0reveals that digital retailers using generative AI achieved a 7% increase in average order revenue and attributed 17% of global orders to AI-driven personalized recommendations, targeted promotions and improved customer service.<\/p>\n

Meanwhile, the nature of search and advertising is undergoing a major shift. Amazon is\u00a0capturing billions of dollars<\/a>\u00a0in ad revenue as shoppers bypass Google to search directly on its platform. Simultaneously, AI-powered search tools such as Perplexity and OpenAI\u2019s web-enabled chat deliver instant, context-aware responses, challenging traditional search engines and forcing advertisers to rethink their strategies.<\/p>\n

The outcome of the battle between\u00a0Big Tech and open-source<\/a>\u00a0initiatives to shape the AI ecosystem is also likely to affect how the shopping experience changes.<\/p>\n

\"\"

Shoppers can have back-and-forth interactions with AI agents. Screenshot by Tamilla Triantoro<\/p><\/div>\n

The risks: Privacy, manipulation and dependency<\/strong><\/h4>\n

While AI agents offer significant benefits, they also raise critical privacy concerns. AI systems require extensive access to personal data, shopping history and financial information. This level of access increases the risk of misuse and unauthorized sharing.<\/p>\n

Manipulation is another issue. AI can be\u00a0highly persuasive<\/a>\u00a0and may be optimized to serve corporate interests over consumer welfare. Such technology can prioritize upselling or\u00a0nudging shoppers<\/a>\u00a0toward higher-margin products under the guise of personalization.<\/p>\n

There\u2019s also the risk of dependency. Automating many aspects of shopping could diminish the satisfaction of making choices. Research in human-AI interaction indicates that while AI tools can reduce cognitive load, increased reliance on AI could\u00a0impair people\u2019s ability<\/a>\u00a0to critically evaluate their options.<\/p>\n

What\u2019s next?<\/strong><\/h4>\n

AI-based shopping is still in its infancy, so how much trust should you place in it?<\/p>\n

In our book \u201cConverging Minds<\/a>,\u201d AI researcher Aleksandra Przegalinska and I argue for a balanced and critical approach to AI adoption, recognizing both its potential and its pitfalls.<\/p>\n

As cognitive scientist Gary Marcus points out, AI\u2019s moral limitations\u00a0stem from technical constraints<\/a>: Despite efforts to prevent errors, these systems remain imperfect.<\/p>\n

This cautious perspective is reflected in the responses from my MBA class. When I asked students whether they were ready to outsource their holiday shopping to AI, the answer was an overwhelming no.\u00a0Ethan Mollick<\/a>, a professor at the Wharton School at the University of Pennsylvania, has argued that the adoption of AI in everyday life will be gradual, as societal change typically lags behind technological advancement.<\/p>\n

Before people are willing to hand over their credit cards and let AI take the reins, businesses will have to ensure that AI systems align with human values and priorities. The promise of AI is vast, but to fulfill that promise I believe that AI will need to be an extension of human intention \u2013 not a replacement for it.<\/p>\n

Author Bio:<\/strong> Tamilla Triantoro is Associate Professor of Business Analytics and Information Systems at Quinnipiac University<\/em><\/p>\n","protected":false},"excerpt":{"rendered":"

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What if there were a tool capable of hunting for […]\n… learn more→<\/a><\/p>","protected":false},"author":33,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"footnotes":""},"categories":[434804],"tags":[435190],"coauthors":[11733],"class_list":["post-75178","post","type-post","status-publish","format-standard","hentry","category-artificial-intelligence","tag-ai-based-shopping"],"acf":[],"yoast_head":"\nWhen AI goes shopping: AI agents promise to lighten your purchasing load \u2212 if they can earn your trust - World leading higher education information and services<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/world.edu\/when-ai-goes-shopping-ai-agents-promise-to-lighten-your-purchasing-load-\u2212-if-they-can-earn-your-trust\/\" class=\"yoast-seo-meta-tag\" \/>\n<meta property=\"og:locale\" content=\"en_US\" class=\"yoast-seo-meta-tag\" \/>\n<meta property=\"og:type\" content=\"article\" class=\"yoast-seo-meta-tag\" \/>\n<meta property=\"og:title\" content=\"When AI goes shopping: AI agents promise to lighten your purchasing load \u2212 if they can earn your trust - World leading higher education information and services\" class=\"yoast-seo-meta-tag\" \/>\n<meta property=\"og:description\" content=\"Online shopping often involves endless options and fleeting discounts. 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