From Data Literacy to AI Literacy: The Next Frontier in Retail Innovation
Marcella Larsen
Founder, Woven | Ex-Salesforce, Ex-Microsoft #Dealmaker #GTMLeader #GlobalConnector and #AIAnalyst weaving together the ecosystem of retail and tech to enhance #Sustainability #CX and #Operational Efficiency.
The National Retail Federation (NRF) 2025 was an electrifying showcase of innovation, strategy, and the future of retail. This year, Generative AI (GenAI) and Agentic AI took center stage, with a clear shift from data literacy to AI literacy. Retail leaders are moving beyond merely collecting and interpreting data to actively using AI as a powerful tool to automate, predict, and optimize. The industry is evolving, and those who embrace AI literacy will be the ones to lead the charge into a new era of retail. ??
The NRF conference has transformed from showcasing basic tech like electronic typewriters and POS devices to a must-attend event for staying ahead in today’s tech-driven retail world. This year, AI and machine learning products flooded the scene, with vendors and sessions offering real-world stories, deep insights, and clear evidence of immediate impact and ROI. If I had superpowers, it would be a personal AI agent to explore every corner of the conference! While I could only catch a fraction, one thing was clear: the shift from data literacy to AI literacy among the industry's game-changers is real and happening now. ??????
The Evolution: From Data Literacy to AI Literacy
Data Literacy: The Foundation For years, data literacy has been the bedrock of modern retail. Retailers invested heavily in tools to gather, analyze, and report on customer behavior, inventory management, and operational efficiency. However, as data volumes explode and consumer expectations rise, the limitations of traditional data literacy become clear. To keep pace with rapid technological advancements, AI literacy is now essential.
AI Literacy: The Next Frontier AI literacy goes beyond interpreting data—it’s about leveraging artificial intelligence to automate processes, predict trends, and make real-time decisions. As seen at NRF 2025, AI adoption is not just about exploring possibilities; it's about applying AI to drive real business outcomes. Retail leaders are focusing on making AI accessible across their organizations, prioritizing key areas like:
?? Improving customer experiences through personalization and seamless interactions
?? Reducing operational costs with process automation and supply chain optimization
?? Increasing agility to adapt to market disruptions and customer demands
These are the real-world applications that forward-thinking retailers are prioritizing as they embrace AI. ??
Game-Changing AI Use Cases from Retail Leaders
Walmart & Nvidia: A Partnership for Innovation
Walmart’s collaboration with Nvidia is a prime example of AI transforming both customer experience and operational efficiency. From AI-powered shopping assistants like Wallaby to supply chain enhancements using Nvidia's data science tools, Walmart is embedding AI throughout its operations. The partnership even includes digital twins, enabling Walmart to simulate store layouts and optimize processes before real-world implementation. ??
Amazon: AI as a Transformative Force
Amazon’s Doug Herrington described AI as a force as transformative as the internet itself. Innovations like AI summaries and the Rufus shopping assistant are not only improving customer experience but also driving efficiencies. Amazon’s focus is clear: apply AI practically to solve specific customer needs—better prices, better selection, and more convenience. ??
Target: Empowering Employees for the AI-Driven Future
Target’s VP, Bangura, emphasized the importance of empowering employees in an AI-driven environment. The company’s focus on technology skills and front-line training, paired with education programs, ensures that its workforce is ready for the AI future. By offering debt-free college degrees and certificates, Target is investing in its people to drive innovation and growth. ????
Freedom Furniture: Transforming Local Australian Retail
Freedom Furniture is a great example of how AI can drive both local business growth and customer engagement. Through its partnership with Coveo, Freedom expanded its product catalog nearly fivefold in just 18 months—from 10,000 to 45,000 items! By integrating AI-powered search, they saw a 15% increase in customer sessions and a 5.5% year-over-year improvement in Average Order Value (AOV). This demonstrates how even local retailers can harness AI to drive growth and customer satisfaction. ????
Microsoft’s AI Partnerships: Empowering Enterprise-Wide Transformation
Microsoft’s collaboration with Walmart and Canadian Tire is helping both retailers build in-house AI capabilities and foster enterprise-wide transformation. Walmart's integration of OpenAI's GPT-4 into its voice order and Text to Shop features is an example of how AI is enhancing customer interactions. Similarly, Canadian Tire's CeeTee app, built with GPT-4, uses conversational commerce to guide customers to make smarter buying decisions early in their journey. ????
The Power of AI Literacy: Why It Matters
Enhanced Decision-Making AI empowers retailers to make more informed, data-backed decisions—from product assortment to marketing strategies. With AI insights, companies can anticipate customer needs and optimize their offerings. ??
Competitive Advantage Retailers that embrace AI literacy are positioning themselves ahead of competitors who are still relying on traditional data analytics. This shift provides them with a significant edge, resulting in market share growth and enhanced customer loyalty. ??
Cost Savings AI helps retailers identify inefficiencies, streamline operations, and reduce costs. Automation not only saves time but also drives long-term profitability. ??
Customer Satisfaction Personalized, AI-powered experiences enhance customer satisfaction by making shopping more relevant and enjoyable. Happy customers are more likely to return and recommend the brand to others—creating a loyal customer base. ??
Conclusion: The AI Literacy Mandate
The shift from data literacy to AI literacy is more than a technological change—it’s a cultural transformation. Retailers that invest in AI literacy today will be better equipped to navigate the digital age’s challenges and seize emerging opportunities. AI is no longer optional—it is the next competitive advantage. Those who understand and embrace AI literacy will shape the future of retail, becoming the leaders of tomorrow. The time to act is now. ???
#AI #RetailInnovation #GenerativeAI #DigitalTransformation #CustomerExperience #AILeadership #RetailTech #FutureOfRetail #AIAdoption #AIforBusiness
Accelerating AI | Country Manager | Partner Director | Thought Leader | Strategic Game Changer Business Scale | Sustainability | Board Member | STEM Ambassador | Growth Connector
1 周What an insightful and expansive conversation Marcella Larsen While our focus is on Retail (NRF) I also personally find the ‘AI for good’ narrative in Health and Life Sciences incredibly inspiring—especially its role in accelerating cancer research. The ability to seamlessly orchestrate unstructured data both on-premise and in the cloud at lightning speeds is truly transformative. Ultimately, it all comes down to identifying the right use case and applying AI to drive meaningful outcomes, no matter the industry! I will always have Retail in me, as they say 'you never leave Retail' AI is 100% a 'Team Sport' Simone Clow
Founder & CEO at Immersifi - The next era in loyalty membership with Innovate Tech | Pioneering the Future of Fashion Retail & Customer Experience with Web3 and AI | Blockchain | Metaverse | NFT Tech | Future Thinker
3 周They say you may not be replaced by AI but you will be replaced by someone who knows how to use it. It’s the efficiency that it provides and retailers need to adapt to what suits them.
Democratising AI, data and analytics | GAICD | ex-Amazon & ex-GE | Yale & UofT alumna
3 周Having seen the retail industry at a global stage, are some countries moving faster in AI and gaining a competitive edge more than others? And what could Australia learn from this?!
Co-Founder/CEO at Zebrar I A Voice for Women and Innovation I Immersive Technology I LinkedIn Top Voice I Founding Member of Australian Metaverse Advisory Council
3 周Love this deep dive into AI literacy - a really insightful POV. As you note there are many excellent examples of AI being used for operational efficiency and customer service. As you know I felt that many of the AI focused panels at NRF missed the opportunity to discuss the power of personalisation and co-creation that AI provides brands/retailers to authentically connect with their customers - especially Gen Z /Gen Alpha. Something I will be discussing in our upcoming events.