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,…

Businesses are collecting mountainous amounts of data, but few are using that data to make transformative change. Multiple departments, systems, and processes, often working in siloes with varying tasks, responsibilities, conflicts of interest, create a patchwork of data points. This makes it difficult for finance teams to access and analyze information that gives them both the ‘big picture’ and granular detail. With restricted visibility, effective decision-making across the supply chain becomes a challenge. It’s time for finance to take a strategic standpoint, to create a more efficient, resilient, and cost-effective supply chain. Join this session while we cover topics such as : The challenges and risks with financial data Why data is your single source of truth The strategic role of finance in the supply chain How to establish a data-driven supply chain