AI Cloud Pipeline
Automate data tagging with domain-specific Enterprise AI. As service operations become increasingly complex, data-driven decision making is the key to success. Predii's Smart Servicing® Cloud Pipeline cleanses, normalizes, and maps data from different sources and across organizational entities to help you build the foundation for advanced analytics.
Feature Extraction
Using proprietary data and language models, Predii extracts parts, components, fault codes, and labor operations from repair orders, service tickets, warranty claims, invoice data, and telematics data.
Our customers use Predii's AI Cloud Pipeline to:
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extract symptoms, repairs, and components from repair orders
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extract parts and labor information from service invoices
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standardize terminology from multiple ERP systems
Predii processes unstructured service operations data on a quarterly, monthly, or weekly basis and feeds back cleansed, normalized data sets as csv export and/or though our Predii Insights Dashboard.
Ready to learn more? Schedule a demo.
Data Normalization
If you've been in the service business for a while, you know better than anyone that components go by more than one name. To make the most of their analytics, modern service organizations need to integrate data sets from different sources and organizational entities.
Predii uses proprietary data and language models to normalize unstructured data sets into features of interest, such as symptoms, components.
Our customers use the Predii Smart Servicing® Cloud Pipeline to:
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automate tagging of automotive data using unsupervised learning
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map part numbers and descriptions to ACES, PIES
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standardize part descriptions across different organizational entities
Ready to learn more? Schedule a demo.
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