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Enterprise AI for HealthTech

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 Enterprise AI for HealthTech - IoT ONE Case Study
The Challenge

Throughout its long history, the company has grown organically as well as through many strategic acquisitions.

The high degree of IT complexity hampers the company’s ability to obtain critical business insights and answer questions such as

  1. What product lines / SKUs should be prioritized to help condense lead times?
  2. Where in the supply chain do parts or products get stuck (i.e., “lazy inventory”)?
  3. What is the optimal allocation of inventory across distribution centers to maximize OTIF for each product line / SKU?

While these challenges were significant in the normal course of business, they became critical issues during the peak of the COVID-19 pandemic.

The Customer
About The Customer

The company, a global HealthTech leader, manufactures products in more than 35 facilities worldwide and ships products to customers globally via an extensive network of production and distribution centers. 

The Solution

C3 AI team first targeted the inventory visibility challenge across the company’s respiratory ventilator products. In just 4 weeks, C3 AI configured the C3 AI Supply Network Risk application for 42 critical ventilator SKUs (stock keeping units) that the HealthTech company delivers to hospitals globally in response to the COVID-19 pandemic.

The team began by unifying disparate supply chain data on the C3 AI Supply Chain Digital Twin. Leveraging the unified data image, the C3 AI team configured five dashboards on the C3 AI Supply Network Risk application to provide end users with a global real-time view across the supply chain.

C3 AI Supply Network Risk was successfully configured and deployed into production in collaboration with a truly cross-functional team across the HealthTech company and C3 AI.

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