AI promises smarter forecasting, tailored solutions, and operational efficiency—but only if it’s built on the right data. We dive into the critical role of accurate, standardised, and personalised data in unlocking AI’s full potential. From mislabelled SKUs to fragmented supplier inputs and incorrect pricing, bad data limits automation and decision-making. We’ll explore real-world examples of how perfect data drives better outcomes across the supply chain, and why investing in data quality is no longer optional in an AI-powered future.