Servitization for Machine Manufacturers / OEMS
Servitization changes everything
From improving your customer interaction and relationships to increasing transparency around how your equipment is really performing and being used in the field, servitization really does change everything.
Servitization can only work with truly scalable condition monitoring and predictive maintenance as part of the solution. Senseye allows OEMs to create new Product-As-a-Service offerings and optimize their use of maintenance resources and spares.
Senseye automates advanced machine learning to enable condition monitoring and diagnostics, as well as enabling prognostics – predicting the Remaining Useful Life (RUL) of your machines and equipment installed on customers’ sites with proven scalability. This allows you to focus on delivering exceptional products and strengthening your customer relationships.
Using Senseye PdM to automatically analyze attention required on machines on a global scale, OEMs are able to predict when and what maintenance is needed, scheduling remedial work before problems impact the end user, ensuring a high standard of quality, throughput and uptime.
"Senseye together with Schneider Electric, enable the co-creation of solutions and enriching learning and speed through collective intelligence. Together this digital ecosystem creates, collaborates, and scales business growth" Cyril Perducat | EVP & IOT Digital offers | Schneider Electric
Case study: Schneider Electric
Senseye has worked with Schneider Electric, a leader in the global industrial space on Industry 4.0 / Smart Industry projects using Predictive Maintenance since 2016.
Alongside a global partnership and showcase involvement in the Schneider Electric EcoStruxure Exchange, Schneider Electric chose Senseye as the Predictive Maintenance solution to be used in its own factories – two of which have been given the ‘World Economic Forum – Lighthouse Designation’ as world-leading smart factories.
Senseye PdM is used to help teams on the shop floor avoid costly unplanned downtime as well as reduce maintenance spend by extending asset lifetimes whilst reducing the amount of planned maintenance performed.Read full case study
Unique benefits of Senseye PdM
Time to value
With a supported data connection, deployment is near-instant and actionable results start to be delivered within 5 days, allowing your service team to diagnose and resolve equipment problems in real-time.
From one machine to thousands, Senseye PdM allows you to remotely monitor of your assets that your customers depend upon. Senseye PdM is machine agnostic, covering all of your machines, not just those that are critical or of high value.
Quick to deploy
Senseye PdM is Software as a Service (SaaS) which means there are no requirements to retrofit hardware to your machines or customers to host software onsite.
Improved customer service
Senseye PdM is designed to automate the analysis of detection, diagnostics and prognostics to give accurate and useful machine health insights. This allows you to work with your customers to predict equipment failures ahead of time and carry out maintenance before any issues occur.
Senseye PdM delivers proven results
improvement in downtime forecasting accuracy
reduction in unplanned machine downtime
increase in maintenance staff productivity
reduction in maintenance costs