C3 IoT Case Studies Enterprise AI for HealthTech: Streamlining Supply Chain Operations

	Enterprise AI for HealthTech: Streamlining Supply Chain Operations C3 IoT

Enterprise AI for HealthTech: Streamlining Supply Chain Operations

C3 IoT

Technology Category	Analytics & Modeling - Machine Learning Functional Applications - Inventory Management Systems
Applicable Industries	Education Equipment & Machinery
Applicable Functions	Logistics & Transportation Warehouse & Inventory Management
Use Cases	Digital Twin Supply Chain Visibility
Services	Data Science Services
Challenge	The global HealthTech company, with over 35 manufacturing facilities worldwide, faced a significant challenge due to its complex IT landscape. The company's growth, both organically and through strategic acquisitions, led to a scattered supply chain data across various ERP systems. This complexity hindered the company's ability to gain crucial business insights and answer critical questions such as prioritizing product lines or SKUs, identifying 'lazy inventory' in the supply chain, and optimizing inventory allocation across distribution centers. These challenges became even more critical during the peak of the COVID-19 pandemic, particularly for the company's respiratory ventilator products. Read More
About Customer	The customer is a global leader in the HealthTech industry, with over 80,000 employees and 35 manufacturing sites worldwide. The company generated over $22 billion in revenue in 2020 and filed over 1,000 new patents in 2019. The company manufactures products in more than 35 facilities worldwide and ships products to customers globally via an extensive network of production and distribution centers. The company has grown organically and through many strategic acquisitions, resulting in a complex IT landscape. Read More
Customer Name	Not disclosed Read More
Solution	The C3 AI team addressed the inventory visibility challenge across the company's respiratory ventilator products. In just four weeks, they configured the C3 AI Supply Network Risk application for 42 critical ventilator SKUs. The team unified disparate supply chain data on the C3 AI Supply Chain Digital Twin and 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. After resolving the visibility challenge, the team configured machine learning algorithms and the application logic to predict order lead times and OTIF (on-time in-full) delivery risks for over 10,000 SKUs. The C3 AI Supply Network Risk was successfully configured and deployed into production in collaboration with a cross-functional team across the HealthTech company and C3 AI. Read More Log in to view content
Contents

Technology Category

Analytics & Modeling - Machine Learning

Functional Applications - Inventory Management Systems

Applicable Industries

Education

Equipment & Machinery

Applicable Functions

Logistics & Transportation

Warehouse & Inventory Management

Use Cases

Digital Twin

Supply Chain Visibility

Services

Data Science Services

Challenge

The global HealthTech company, with over 35 manufacturing facilities worldwide, faced a significant challenge due to its complex IT landscape. The company's growth, both organically and through strategic acquisitions, led to a scattered supply chain data across various ERP systems. This complexity hindered the company's ability to gain crucial business insights and answer critical questions such as prioritizing product lines or SKUs, identifying 'lazy inventory' in the supply chain, and optimizing inventory allocation across distribution centers. These challenges became even more critical during the peak of the COVID-19 pandemic, particularly for the company's respiratory ventilator products.

About Customer

The customer is a global leader in the HealthTech industry, with over 80,000 employees and 35 manufacturing sites worldwide. The company generated over $22 billion in revenue in 2020 and filed over 1,000 new patents in 2019. The company manufactures products in more than 35 facilities worldwide and ships products to customers globally via an extensive network of production and distribution centers. The company has grown organically and through many strategic acquisitions, resulting in a complex IT landscape.

Customer Name

Not disclosed

Solution

The C3 AI team addressed the inventory visibility challenge across the company's respiratory ventilator products. In just four weeks, they configured the C3 AI Supply Network Risk application for 42 critical ventilator SKUs. The team unified disparate supply chain data on the C3 AI Supply Chain Digital Twin and 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. After resolving the visibility challenge, the team configured machine learning algorithms and the application logic to predict order lead times and OTIF (on-time in-full) delivery risks for over 10,000 SKUs. The C3 AI Supply Network Risk was successfully configured and deployed into production in collaboration with a cross-functional team across the HealthTech company and C3 AI.

Impact #1	The implementation of the C3 AI Supply Network Risk application significantly streamlined the company's supply chain operations. The unified data image and the configured dashboards provided a real-time global view across the supply chain, enabling the company to make informed decisions. The machine learning algorithms and application logic helped predict order lead times and OTIF delivery risks, enhancing the company's ability to manage its inventory and meet delivery deadlines. The solution was successfully deployed in collaboration with a cross-functional team, demonstrating the company's commitment to digital transformation and operational efficiency.

Impact #1

The implementation of the C3 AI Supply Network Risk application significantly streamlined the company's supply chain operations. The unified data image and the configured dashboards provided a real-time global view across the supply chain, enabling the company to make informed decisions. The machine learning algorithms and application logic helped predict order lead times and OTIF delivery risks, enhancing the company's ability to manage its inventory and meet delivery deadlines. The solution was successfully deployed in collaboration with a cross-functional team, demonstrating the company's commitment to digital transformation and operational efficiency.

Benefit #1	500 million rows of data unified from three disparate source systems
Benefit #2	35% reduction in delayed sales orders
Benefit #3	Over 10,000 SKUs monitored by C3 AI Supply Network Risk

Benefit #1

500 million rows of data unified from three disparate source systems

Benefit #2

35% reduction in delayed sales orders

Benefit #3

Over 10,000 SKUs monitored by C3 AI Supply Network Risk

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Overview

Enterprise AI for HealthTech: Streamlining Supply Chain Operations

Operational Impact

Quantitative Benefit