AI Revolutionizes Consumer Shopping Habits

AI tools are reshaping how nearly half of consumers research products, urging retailers to adapt.
Published: January 9, 2026

AI Transforming Consumer Buying Journeys, According to New IBM-NRF Study

A recent study by the IBM Institute for Business Value and the National Retail Federation (NRF) reveals that 45% of consumers utilize artificial intelligence (AI) tools while navigating their shopping journeys. This significant shift comes at a time when traditional retail continues to face the challenge of integrating innovative technologies into customer engagement strategies. The findings were based on insights gathered from over 18,000 consumers across 23 countries, underscoring a global transformation in how purchasing decisions are made.

While 72% of consumers still prefer shopping in physical stores, the study highlights that today's savvy shoppers are increasingly equipped with information they gather from AI before stepping foot in a store or clicking through an app. This tendency towards “AI-driven discovery” raises critical questions about how brands can adapt their business models to align with evolving consumer behaviors and expectations.

As businesses and industries grapple with this paradigm shift, it is clear that consumer loyalty will hinge on the ability to provide relevant and timely information that resonates with tech-savvy shoppers.

AI-Powered Shopping: A New Norm

The IBM-NRF study emphasizes a transformative trend: nearly half of respondents (41%) leverage AI to research products, while 33% utilize it to interpret reviews, and 31% to hunt for deals. This shift is reflective of a broader reliance on technology in decision-making processes.

"AI is changing how consumers shop, and every aspect throughout the shopping journey," states Caroline Reppert, Senior Director of AI and Technology Policy at the NRF. As retailers engage with AI technologies, they face a pressing need to respond to these evolving consumer behaviors and refine their strategies accordingly.

The market is already witnessing increased investments in generative AI solutions, initially spurred on by the likes of tech giants such as Amazon and Alibaba. These players have long set the expectation for personalized and instantaneous responses to shopping queries, conditioning consumers to anticipate advanced AI features in their shopping experiences. Brands that neglect to integrate such features may risk falling behind in the competitive landscape.

Overcoming Operational Challenges

While consumer interest in AI-equipped shopping experiences is clear, the study indicates that many retailers struggle with operational readiness. A daunting 54% of brand executives reported ongoing challenges related to channel and data integration, which affects their ability to capitalize on AI-driven consumer insights.

Moreover, 51% of the executives surveyed cited limited AI expertise within their organizations as a primary barrier to implementation. This disparity highlights a critical gap between the consumer demand for seamless, AI-powered shopping experiences and the fragmented systems prevalent in many retail operations today.

Stanislas Vignon, Head of Insights at LVMH, stresses that “AI is not a magic wand.” He emphasizes the necessity for retailers to have robust data infrastructure to leverage AI effectively. Without accurate and comprehensive data, the potential benefits of AI in enhancing consumer experiences may remain unrealized.

Rethinking Consumer Engagement Strategies

To keep pace with the AI-driven shopping revolution, brands and retailers must anticipate emerging trends and re-design their engagement strategies. Examining the study’s findings, retailers are advised to focus on several key areas:

  • Redesigning the Shopping Journey: Retailers must identify critical decision moments where AI integration can enhance the consumer experience, establishing seamless transitions from research to purchase.
  • Leveraging AI to Enhance Decision-Making: With deal-hunting, review interpretation, and personalized shopping assistance preferred by consumers, businesses should integrate these tools within their platforms to facilitate early-stage decision-making.
  • Ensuring Data Integrity: Creating a consistent and accurate data framework is essential for effective AI application. Retailers must prioritize aligning product truths and policy consistency, testing their solutions to assure valid and beneficial consumer interactions.

As AI technologies like super apps and personal shopping assistants continue to evolve, brands must not only adopt these innovations but also amplify their unique offerings. The race is on to scale AI engagements while preserving brand identity and customer trust.

The Road Ahead

The findings from the IBM-NRF study underscore a pivotal moment for the retail industry. As AI reshapes consumer behavior, retailers who deftly navigate this new environment will differentiate themselves from those merely reactive to market changes. The ability to interpret and respond to AI-influenced consumer dynamics will likely set the foundation for future business success.

With the ongoing evolution of shopping behaviors, a new chapter in consumer engagement is on the horizon, characterized by deep personalization, smart home integrations, and AI-centric decision-making. Retailers that harness AI responsibly will not only enhance customer loyalty but also shape the future of commerce in a digitally dominated age.

To explore the full implications of the study, visit the IBM Institute for Business Value report here.

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