Customer Experience
Maximize Product Availability with Data-driven Asset Operations Management
Improve Customer Satisfaction
The NETVIBES Customer Experience portfolio on the 3DEXPERIENCE platform helps customers enhance asset effectiveness with virtual twin experiences connecting Operations to Engineering and Design. Leveraging all asset data, data science and collaboration capabilities ensure that all stakeholders are better able to work together and make informed service and design decisions based on data analytics insights for continuous improvement.
The artificial intelligence-driven 3DEXPERIENCE platform collects the most valuable usage data and projects it on a virtual model-based product referential. This virtual twin is an extension of the digital model of the product. Consolidating real-world data with those from the digital world allows companies to quickly determine the actions required to improve support. Reducing maintenance and accurately forecasting associated resources means more products in service.
NETVIBES Customer Experience Key Benefits
Predict Breakdowns
Prevent unexpected failures through the detection of weak signals, shortening downtimes.
Reduce Time for Investigation
Perform root-cause analyses by leveraging knowledge and experience gained from solving similar situations in the past.
Maximize Asset Availability
AI technologies help increase accuracy and devise appropriate maintenance schedules.
Decrease Maintenance Costs
Solve issues faster with predictive analytics and capitalize on knowledge to improve new assets.
NETVIBES Customer Experience software products are packaged as Roles to get you up to speed faster and work more efficiently with all needed applications available at your fingertips. Select a package that corresponds to your role in an organization.
Explore the Products
Data is at the core of the ability to transform field operations, engineering, quality and manufacturing processes that impact fleet availability. The challenge is no longer about managing billions of events; technology has been mature enough for that for some time, and is also capable of managing heterogenous data spanning 2D, 3D, images, text or IoT. The challenge is about elevating all of this data into a consistent, normalized model, while creating new ways of collaboration to seamlessly connect the multiple organizations involved in delivering the expected availability.
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