This podcast from Retailer AI addresses the question of whether the current AI trend is leaving retail behind, arguing that retail is absolutely moving with AI trends and that AI is quietly transforming retail in significant ways, both online and in physical stores. However, the podcast notes that many traditional retailers haven't yet caught up, creating the perception that AI is being overlooked in retail. Despite this, the podcast asserts that the future of retail will be AI-powered.

The podcast then breaks down the ways in which retail is currently moving with AI trends, providing several key examples:

• AI-Powered In-Store Personalization: This includes using digital screens that analyze behavior to show tailored promotions, smart mirrors suggesting outfits, and loyalty apps providing real-time personalized offers, with Nike and Sephora cited as examples.
• Smart Inventory & Demand Forecasting: AI predicts which items to stock and when, based on local trends, seasonality, and social media buzz, leading to less overstock and higher customer satisfaction.
• AI-Powered Store Assistants: This involves robot greeters, voice-activated help desks, smart kiosks, and AI chatbots in-store to guide customers and answer questions, with Lowe's mentioned as an example of using robots.
• Seamless Omnichannel Experience: AI connects online and offline behavior, enabling features like in-store product suggestions based on online browsing and the ability to continue shopping experiences across platforms.
• Visual Search & AR Try-On: AI allows customers to scan products to find similar items and use augmented reality to virtually try on items like glasses, makeup, and clothes.
• Sentiment & Behavior Analysis: AI tools analyze in-store camera feeds (with consent) to understand how people feel, where they stop, and what attracts their attention, helping retailers optimize store layout and experience.

The podcast also highlights what is currently missing or lagging in AI adoption in retail, pointing out that small and mid-sized retailers often lack the budget or knowledge, some stores use outdated and non-integrated systems, and there's often no clear roadmap for combining AI with human interaction in-store.

Looking ahead, the podcast discusses future trends such as Edge AI in retail for fast, real-time decision-making, hyper-personalization at scale, and the integration of voice shopping & AI assistants powered by large language models within retail environments.

The podcast concludes by emphasizing that retail is not being left out of the AI revolution, but those who do not adapt will be left behind, while retailers who embrace AI strategically with a human-centric approach will be successful with various generations of customers. The podcast also offers the possibility of a sample AI roadmap for a physical retail store over the next 12 months.