Intent Discovery for Automotive Queries
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​Predii accurately identifies the 'intent' behind highly specialized automotive queries and enables intelligent, context-aware workflow support for parts and service.
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Predii’s Intent Discovery capability leverages Natural Language Processing (NLP) to analyze and understand automotive queries. By identifying the specific intent behind each query, the system ensures that the most relevant and contextually accurate responses are delivered.
Query Parsing & Tokenization
Breaks down incoming automotive queries into structured components using domain-tuned tokenization, and specific parsing to extract key entities and relationships.
Automotive-Specific
Intent Classification
Applies domain-specific machine learning models to map parsed queries to predefined intent categories such as diagnostics, part lookup, repair procedures, or service actions.