Prominent Car Manufacturer in UK Predicts Factors For Increasing Manufacturing Efficiency

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Thanks for your interest in DataRPM's Case Study.

By downloading this case study, you will learn how a Prominent Car Manufacturer in UK uses DataRPM’s Cognitive Predictive Maintenance Platform to Predict factors for Increasing Manufacturing Efficiency, thus reducing maintenance costs. 

Business Challenge:

To identify and predict which external factors affect machine efficiency as a key performance indicator and how

What We Did:

DataRPM’s CPdM Platform identified segments with High OEE and low power consumption to recommend prescriptions for achieving higher machine efficiency

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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.

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