Unicorne and MUUTAA™ Leverage AWS to Boost Performance for Healthcare Supply Chains MUUTAA

Boosting Healthcare Supply Chain Responsiveness

Founded in 2019 and based in Quebec City, MUUTAA™ develops leading AI solutions for hospital and healthcare supply chain management leaders across North America. MUUTAA™ customers manage billions of dollars annually in supplies, medications, and products from tens of thousands of vendors. Responding quickly and nimbly to fluctuations in healthcare demand reduces inventory costs and, eliminates waste. To help customers become more agile and lower costs, MUUTAA™ solutions integrate key data sources, AI, machine learning, and simulation to improve supply chain efficiency with better forecasting and demand sensing. Specifically, they pair medication and medical supply attributes with patient attributes to determine true patient-driven demand.

For every supply, medication, and product in the supply chain, thousands of data points need to be sourced from existing inventory, warehouse and order systems, then analyzed to make optimal sourcing and purchasing decisions that align with patient-demand forecasts. MUUTAA™ automates this process by providing supply chain decision support through cognitive assistants.

Supply chain managers need improved demand-based forecasting capabilities, but most forecasting solutions rely on partial information. For MUUTAA™ to deliver next-generation predictive analytics, its solution needed to include data from additional sources, such as clinical procedures, physician schedules and protocol changes. Robust data integration would help supply chain leaders make more informed decisions, support better care and, ultimately, improve health outcomes.

To address the issue, MUUTAA™ developed DemandAMP+™, an AI solution that applies machine learning across a variety of data sources to bring more precision to supply chain decisions. DemandAMP+™ predicts supply needs, identifies outliers, and provides forecasts based on historical data combined with current protocols and consumption. Healthcare supply chain teams are using DemandAMP+™ to predict patient-driven demand and make better, more cost-effective and outcomes-driven order management decisions by leveraging data that resides in various information systems.

MUUTAA™ wanted an AWS certified cloud technology partner to help support the security, AI, performance, and scalability needs of DemandAMP+™. They sought the assistance of Unicorne, an AWS Partner and cloud technologies company based in Quebec City, Canada, that designs cloud applications and supports companies in the migration, optimization, and development of cloud-native applications.

Having worked with Unicorne’s cofounders on past endeavors, MUUTAA™ developers were familiar with Unicorne’s expertise, skillsets and capabilities. As a result, MUUTAA™ leaders engaged Unicorne as its technology partner.

Automating Deployment for Performance, Scalability, and Security

Better Performance and Reduced Costs

The development process took place over several months, and MUUTAA™ leaders say they were impressed by Unicorne’s ability to move the project forward.

With better, smarter, and more secure demand forecasting, DemandAMP+™ has helped healthcare supply chain leaders plan ahead with more accuracy. To reduce storage, logistic and material handling costs, hospitals and health systems need to have the right supply quantities available at the right times in the right places. With DemandAMP+™ on AWS, most MUUTAA™ customers have reduced carrying costs, stockout costs and substitute costs by 50 percent.

With better and more precise data on consumption patterns from DemandAMP+™ on AWS, healthcare organizations can carry less excess inventory, save on warehousing, reach better decisions faster, negotiate lower-cost substitute items, and react with more agility to fluctuations in demand. The automation of low-value tasks reduces the need for additional employees, and stronger forecasting saves on rush order costs.

Overall, DemandAMP+™ APIs process approximately 8 million requests and analyzes more than 2 million security events every month. Customer feedback has been overwhelmingly positive.