CASE STUDY

Fortune 100 Manufacturer Unlocks Competitive Advantage For Inventory Optimization


Hi There,

Thanks for your interest in DataRPM's Case Study.

By downloading this case study, you will learn how a fortune 100 manufacturer achieved 57% reduction in additional warranty using CPdM Platform.

Business Challenge:

To identify issues on the factory floor machinery and optimize maintenance parts 

What We Did:

Analyzed 10years worth of machine data and predicted which parts were likely to fail and the reasons behind the failures using an automated predictive maintenance approach for inventory optimization

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About Us
DataRPM is an award-winning predictive analytics company focused on delivering the next generation predictive maintenance solutions for the Industrial IoT. DataRPM's Cognitive Predictive Maintenance (CPdM) platform automates data science leveraging the next frontier in machine learning known as meta-learning, which is machine learning on machine learning. The platform increases prediction quality and accuracy by over 300% in 1/30th the time and resources delivering 30% in cost savings or revenue growth for business problems around predicting asset failures, reducing maintenance costs, optimizing inventory and resources, predicting quality issues, forecasting warranty and insurance claims and managing risks better. The company was founded in 2012 and is based in Redwood City, CA with operations in the United Kingdom and India.

Learn more about the company at www.datarpm.com.
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