Predii's platform deals with unrefined, domain specific, specialized knowledge that only an expert in the field can relate to. Predii mines multiple inputs of this type to create correlated insights, augmenting customer applications in a connected ecosystem. This intelligence transforms enterprise operations, enabling Predictive Maintenance 2.0. We power Guided Repair and Advanced Diagnostics applications, equipping technicians with the tribal knowledge and historical domain expertise they need to efficiently repair complex equipment. Our Quality Engineering insights enable teams to understand the performance of their equipment and where to improve it.
The Predii AI Platform transforms historical data from servicing operations into operational insights for the parts ecosystem. Our Predii Parts IntelligenceTM solution guides the parts management process — inventory, dispatching, pricing, and usage. Our Dispatching Intelligence ensures that technicians are sent to the job sight with the parts and expertise necessary to achieve first call resolution. Our Pricing Intelligence provides market insights into repair costs. These insights are seamlessly integrated into enterprise operations.
Preventive and predictive maintenance has been a feature of complex equipment for decades – but Predii is transforming these operations with Artificial Intelligence.
The complexity of modern equipment is increasing exponentially. This complexity transfers over to repairing the equipment, too. It is increasingly impossible for any given technician to possess extensive expertise in every repair scenario they encounter. The aggregated technician workforce has this expertise, however. Predii extracts repair paths and procedures from the historical data of the entire workforce, empowering technicians with guidance through real-time servicing events. Predii also correlates this guidance with telemetry data and the technical service manuals provided by the OEM, to provide a truly holistic guided experience, from complaint to cause to correction.
Sensor codes and IOT data no longer happen in isolation, one at a time. Advanced monitoring technologies provide a multitude of diagnostic trouble codes for any given situation.
Processing maintenance data is a pain point for engineering teams, yet it must be done to understand equipment failure points and what improvements are necessary to out-perform the competition. Predii’s AI platform classifies service records at scale, providing engineering teams with data-driven insights into equipment failures.
Modern dispatchers handle incoming calls from dozens of product lines — and these products get more complex every year. Accurate dispatching is one of the key difference-makers in a remote servicing organization's bottom lines, as mistakes lead to costly repeat visits.
The same repair can vary in cost dramatically from one servicing instance to another. Enterprises ranging from parts manufacturers to warranty providers want to provide products at the most competitive rates, but creating advanced actionable information from boots-on-the-ground operations is a difficult process for their experts. Predii’s data analytics solutions processes customer service data at scale, using proprietary NLP technology built to understand servicing data. We provide cost insights that power enterprise-wide business models for our customers – this is Pricing Intelligence.
Understanding the customer's experience with equipment is crucial to making the kind of year-over-year improvements that ensure that the enterprise remains competitive in the market. Some of the most valuable information comes in customer survey free-text input, which can cost engineers countless man hours to fully process. Predii's proprietary NLP understands how people talk about equipment, easily drawing the insights our customers need from difficult-to-handle data sources.
Every year, billions of dollars' worth of perfectly functional equipment