What is the Pain point: Most people in industry use past knowledge or experience in resolving issues. There is no mechanism to capture this knowledge for reuse.
Lack of structured data to move from manual decision making to data-based decision making. Issues are typically not analyzed and resolved in a systematic manner.
After market service providers have very limited access to digital data in upkeep and maintenance of their products.
How can we build the
Digital thread of the product for maintenance?
Energy plants are built by integrating various products and systems and hence have a lot of product documentation and manuals.
Can you access all reference manuals at one click?
Automobiles come with massive manuals that nobody reads, and technicians build knowledge over many months of experience and training.
Can this be done faster?
Poorly trained 3rd party technicians of home appliances typically put the brand and customer satisfaction at risk!
How can we protect the brand value?
Engineering products are complex and when they go down the technician needs to be well trained!
Can we provide them with the right product knowledge?
Product Maintenance manuals are not live documents and the knowledge in manuals are not applied, referred or updated at regular intervals.
Corrective actions are not fed back into the Aftermarket teams and do not help to resolve the issue from repeating.
Most people use experience in resolving issues. Can this knowledge be captured for reuse?
Lack of predictive and preventive maintenance of products leads to poor customer feedback and satisfaction.