Predict when repairs will be needed, schedule maintenance cost-effectively, and keep your business operating smoothly.
Predict equipment failure, plan cost-effective maintenance
Sudden malfunctions of equipment can stop a business on a dime. It can create dissatisfied customers, unmet delivery expectations, contract penalties, lost revenue, and costly emergency action to set things right. Data science can protect your business against these unexpected misfortunes. Capturing the vast data streams generated by most modern equipment, you can predict when repairs will be needed, schedule maintenance cost-effectively, and keep your business operating smoothly.
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Manufacturers can use AI systems to design smart products, run smart factories, forecast demand, ensure quality, reduce production downtime, and manage supply chain risk. But one use case rises above the rest In terms of feasibility and impact – predictive maintenance. It addresses the age-old challenge of ensuring maximum availability of critical manufacturing systems, while simultaneously minimizing the cost of maintenance and repairs.