Optimize your after-sales service business to maximize product uptime and build a solid foundation to enable a successful transition to selling products-as-a-service.
Enable your Operations and Field Service teams to proactively identify anomalies and predict failures to eliminate unplanned downtime, reduce the Total Cost of Ownership over a product’s lifetime to improve market share, generate consistent revenue and protect margins in a fully-servitized world.
Track product uptime and health.
Collect and analyze data from sensors, error codes, events and field service (or maintenance) systems to calculate key product uptime metrics in real time. Syncron Uptime allows users to proactively target products with high failures, more accurately forecast parts demand and improve the efficiency of your current reactive break-fix service model.
Prevent unplanned downtime.
Offer risk-based service contracts.
Offering service contracts based on uptime guarantees requires the ability to effectively manage the risk by ensuring your maintenance and replacement parts cost do not exceed planned targets. Apply Digital Twin analytics powered by Machine Learning and Artificial Intelligence to detect and diagnose anomalies, as well as, predict product and part failures to eliminate unplanned downtime and improve overall parts utilization. Syncron Uptime™ assures profitability on risk-based service contracts, even when competitive pricing is part of the equation.
Coordinate maintenance events seamlessly, eliminating organization silos.
Improving overall uptime, not only requires the ability to proactively identify potential failures, but also ensure the field service teams are empowered by delivering all relevant information to the right people at the right time. This allows them to combine maintenance tasks from predictive models with existing planned maintenance to maximize uptime – all with minimum impact to your customer’s operations. Syncron Uptime™ provides out of the box integration with standard field service systems, allowing you to seamlessly convert predictive failure notifications into accurate work order requests for field service teams to plan maintenance events. With more efficient communications between engineering, reliability and field service, manufacturers can ultimately eliminate organizational silos.
Improve field service productivity with knowledge management.
Build a searchable failure-case library, combined with operational sensor data, inspection and field service data to help manufacturers develop and retain best practices in an ever-changing workforce – continuously improving decision making strategies and field service metrics like First Time Fix Rates (FTFR) and Mean Time To Recovery (MTTR) while optimizing the process for proactive maintenance. Syncron Uptime™provides a built-in Case Management capability which allows experienced field service engineers to capture the precise steps used in troubleshooting failure symptoms, associate the alerts to the correct root cause and determine the right corrective actions and spare parts needed to truly fix the problem the first time.
Leverage digital twin analytics for maintenance strategy optimization.
The support of digital twin-based predictive models allows manufacturers to detect performance degradation and more accurately predict failures for an individual product. By combining failure coverage based on operational data with preventive maintenance strategies, Syncron Uptime™ allows manufacturers to fine-tune and optimize maintenance strategies at a much more granular level for maximized service revenue and profitability.
Democratize Machine Learning (ML) and Artificial Intelligence (AI) with Product Blueprint library.
Application of ML and AI in the industrial world requires extensive domain expertise and knowledge of machine performance and failure modes, knowledge that typical Data Scientists and Data Engineers do not bring to the table. Syncron Uptime™ provides a library of product Blueprints – templates that incorporate a standardized system and component model, mapped to typical sensors, physics-based features, combined with ML pipeline templates for anomaly detection and failure prediction. Blueprints allow reliability engineers and other domain engineers without a deep knowledge of Data Science to apply ML and AI technology for prescriptive maintenance – ultimately reducing overall cost and improving time-to-value on your investments in Syncron Uptime™.
Empowering exceptional after-sales service at many of the world’s leading manufacturers
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