Nov. 15, 2019—Syncron today announced the launch of Syncron Uptime, a solution that aims to use machine learning and artificial intelligence to efficiently analyze real-time sensor data, predict failures, prescribe optimized maintenance actions and ultimately maximize product uptime.
Servitization, which is the transformation from selling products to selling products-as-a-service, has ushered in a new generation of customers that prefer access over ownership. This increasingly popular consumption preference is driving original equipment manufacturers (OEMs) to shift from product-centric to service-centric business models.
When implementing an after-sales service strategy that is centered on maximized product uptime, OEMs commonly encounter challenges including failure patterns, data, complexity and knowledge management, and organizational silos.
Syncron Uptime has been specifically designed to overcome those challenges, enabling OEMs to maximize product uptime cost effectively. Specific benefits of this new, enterprise software solution include:
- Combining OEMs’ investments in IoT and sensor data with machine learning and artificial intelligence to detect anomalies and predict failures, leading to optimized maintenance for every complex machine in the field and ultimately improving maintenance costs.
- Capturing knowledge and best practices for troubleshooting products with the earliest and smallest indications of deterioration in performance, increasing field service productivity and improving first-time fix rates.
- Breaking down data and organizational silos to enable coordination between operations, field service management and service parts planning.
