Today’s supply chain professional may be hungry for information but still drowning in data, never confident in how trustworthy some sources might be versus others. Pursuing supply chain transparency means expanding connections and communication across a global network of suppliers and logistics service providers, but only if you have the means to harmonize and transform disparate data. For confident decision support, some data must be augmented or presented with broader business context. Still other information should be cross-referenced with additional data streams or addressed with data science techniques to fill in gaps and gain useful forward projections or predictions. Join hosts Scott Luton and Karin Bursa from Supply Chain Now along with special guest Monica Truelsch with Infor to learn how synchronizing supply chain data across partners, technology stacks and back-office systems is key to improving supply chain performance.

AI is everywhere in the news — but which applications are too good to be true and which ones are actually going to create real value in warehouse operations today? Join hosts Scott Luton and Tandreia Bellamy as they welcome Easy Metrics President & CTO Dan Keto to cut through the noise to reveal what AI can truly deliver in the near term. Drawing on real-world experience and current industry trends, Dan will outline where AI fits in warehouse performance, why it’s not a magic wand, and how a unified data model is the essential foundation for success. This webinar explores practical use cases that can be implemented today, as well as common AI pitfalls that operations leaders should avoid. Dan will share a straightforward methodology to evaluate AI and ML initiatives—so leaders can distinguish between over-promised solutions and tools that actually improve operational efficiency, improved productivity, labor management, and cost control. Ideal for leaders facing pressure to “do something with AI,” this webinar will bring real-world clarity to a topic often full of hypotheticals. Get a clearer sense of how to prioritize your own organization’s AI initiatives based on what is most needed and where, integration feasibility and ROI,…