New tool aims to speed shift from after-sales service to products-as-a-service
Syncron announced the launch of Syncron Uptime, a new solution offering that uses machine learning and artificial intelligence to 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 prefers access over ownership. This increasingly popular consumption preference is driving original equipment manufacturers (OEMs) to shift from product-centric to service-centric business models.
“While servitization will enable OEMs to create more customer value and reduce cost, it will also require many to redefine the way they operate and serve their customers,” said Henrik Lenerius, Chief Product Officer at Syncron. “OEMs not only need to optimize their traditional, break-fix after-sales service operations, but also future-proof their businesses to meet the customers’ evolving consumption preferences. Subscribers expect their equipment to be up and running at all times—putting previously unseen demands on manufacturers’ service organizations. The launch of Syncron Uptime, coupled with increasing data-transfer bandwidths (5G), IoT, artificial intelligence, and machine learning, is paving the way for OEMs to facilitate predictive and prescriptive maintenance, optimize productivity, and maximize product uptime more efficiently than ever before.”
When implementing an after-sales service strategy that is centered on maximized product uptime, OEMs commonly encounter certain types of challenges, including those related to failure patterns, data management and analysis, complexity and knowledge management, and organizational siloes. Syncron Uptime has been designed to overcome those challenge, enabling OEMs to maximize product uptime cost effectively.
The tool combines OEMs’ investments in IoT and sensor data with machine learning and artificial intelligence to detect anomalies and predict failures with the goal of leading to optimized maintenance for every complex machine in the field and ultimately improving product uptime and maintenance costs.
Syncron Uptime also aims to increase field service productivity and improve first-time fix rates by capturing knowledge and best practices for troubleshooting products with the earliest and smallest indications of deterioration in performance.
It is designed to break down data and organizational siloes to enable coordination between operations, field service management, and service parts planning. In addition, it integrates predictive maintenance work requests with field service systems and computerized maintenance management systems to make the best decisions for both the business and end customers, while maximizing product uptime and improving the overall customer experience.
Visit www.syncron.com/solutions/uptime/ for more information.