TRANSFORMING INDUSTRIES IN THE DIGITAL ERA
INCUBATION PARTNER DIBRUGARH UNIVERSITY
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TECHNOLOGY
Predictive maintenance, through asset health forecasts, saves costs by proactively identifying potential equipment failures, minimizing downtime, and optimizing maintenance schedules. This approach reduces emergency repairs and extends asset lifespan, leading to more efficient resource allocation and informed decision-making, ultimately lowering maintenance expenses.
Predictive maintenance can yield cost savings between 8% to 12% over preventive maintenance, and up to 40% over reactive maintenance
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CUSTOM DEVELOPMENT
Partner with us to unlock the full potential of predictive maintenance through custom AI development. At KAUSHALDIGITAL, we specialize in collaborating with businesses to create tailored AI tools that revolutionize maintenance strategies. By joining forces with our expert team, you gain access to cutting-edge technologies and unparalleled expertise in artificial intelligence and data analytics.
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METHODOLOGY
In our journey towards creating an innovative predictive maintenance tool, we've embraced the Evolutionary Software Engineering approach. This methodology embodies adaptability and responsiveness, allowing us to evolve our solutions iteratively based on real-world feedback and changing requirements. By continuously refining and enhancing our software through incremental development cycles, we ensure that our predictive maintenance tool remains robust, efficient, and capable of meeting the evolving needs of our users.
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