Walmart's Hurricane AI Saves 30 Million Miles While Target's Chatbots Steal Customers: The Retail Tech Showdown
Published: January 17, 2026
Duration: 2:55
This is you Applied AI Daily: Machine Learning & Business Applications podcast.
Welcome to Applied AI Daily, where we explore machine learning and its transformative business applications. Imagine Walmart facing a hurricane: its machine learning system instantly reroutes shipments, predicts demand spikes for batteries and water by zip code, and adjusts inventory across 150 centers, ensuring seamless service. According to Walmart Global Tech reports from 2024, this demand forecasting slashed stockouts, saved 30 million driving miles, and delivered 26 percent year-over-year earnings growth alongside 30 percent logistics savings. Target similarly rolled out generative artificial intelligence chatbots to nearly 2,000 stores, boosting inventory turnover, cutting clearance...
Welcome to Applied AI Daily, where we explore machine learning and its transformative business applications. Imagine Walmart facing a hurricane: its machine learning system instantly reroutes shipments, predicts demand spikes for batteries and water by zip code, and adjusts inventory across 150 centers, ensuring seamless service. According to Walmart Global Tech reports from 2024, this demand forecasting slashed stockouts, saved 30 million driving miles, and delivered 26 percent year-over-year earnings growth alongside 30 percent logistics savings. Target similarly rolled out generative artificial intelligence chatbots to nearly 2,000 stores, boosting inventory turnover, cutting clearance...