Author name: barryholleman

The savings are already in your data. Inconsistent records are what keep them hidden. Savings opportunities go unnoticed every day. Not because procurement teams are not looking, but because the data they rely on does not tell a consistent story.  Consider what that looks like inside a real purchasing system. The same product appears under […]

The 2022 iodinated contrast shortage was a supply shock. Getting through it was a decision.  In the spring of 2022, radiology departments around the world opened their cabinets and found a problem they could not scan their way out of. A COVID-19 shutdown at a GE Healthcare plant in Shanghai, the site that produces the

When a critical item has three weeks of cover left, you don’t need a two-year platform build. You need the right decision now.  A hospital rarely runs out of a critical item because nobody had the data. The data was already there. It sat in the ERP, in the inventory system, in the supplier emails,

 Machine learning transformed supply chain forecasting. The next transformation is turning those forecasts into decisions.  Over the past decade, machine learning has quietly rewritten what is possible in supply chain forecasting. Models that once leaned on simple historical averages now learn from seasonality, promotions, lead time variability, weather and live demand signals, anticipating shifts with

In healthcare supply chain, disruption is a constant. A shortage is announced. A contract price moves. A supplier misses a delivery. Those events are real problems, and you cannot always prevent them.  What you can control is different: how early you see the disruption coming, and how quickly and confidently you respond once it does. That

When a drug goes into shortage, a hospital pharmacy team doesn’t simply wait for stock to arrive. They run a demanding daily process: checking inventory across the hospital using both software and manual counts, assessing what future supply looks like, working out whether approved substitutes are available, and then deciding which mitigation steps to take,

A recent report in Becker’s Hospital Review highlighted a reality that will resonate with healthcare leaders across North America: some of the largest health systems, including UPMC, CommonSpirit, Northwell Health, Trinity Health and HCA Healthcare, continue to operate multiple enterprise platforms as the result of decades of mergers, acquisitions and phased technology rollouts.  To address this

Supply chain systems are not short on data, they are overwhelmed by it. Product catalogs don’t align, supplier descriptions vary, and data coming from different systems is often inconsistent or incomplete. Before any optimization, forecasting, or decision-making can happen, organizations must first solve a more fundamental problem: making their data usable. Optivian was built on

MUUTAA is proud to announce its selection as part of Canada’s official delegation to VivaTech 2026, one of the world’s leading technology events, taking place in Paris from June 17 to 20. This delegation is led by Scale AI and brings together a group of innovative Canadian companies shaping the future of artificial intelligence and

The India AI Impact Summit concluded this week, an event we followed with great interest at MUUTAA. Many of the discussions around data readiness, infrastructure, and responsible deployment closely reflect challenges we have been carefully navigating over the years while building and implementing AI systems within healthcare supply chain environments. While large international AI gatherings