Intent Classification

Category: science

The AI process of categorizing user input into a predefined "intent" label to trigger specific downstream logic.

Classification is a classification problem: "Is the user trying to purchase a collectible, report storm damage, or inquire about lead status?" Each intent maps to a specific state-machine path. High-performance classification models use zero-shot learning to correctly label intents even if the user phrasing is unconventional.

Common Examples

• Our intent classification model achieved 98% accuracy by mapping unique user queries to our core business process labels: "repair-lead", "valuation-request", and "data-export".
• When intent classification fails, the system defaults to a human-in-the-loop fallback to ensure complex queries are handled with appropriate care.