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AI Routing

An automated routing approach that introduces large language models or classification models on top of traditional rule engines to perform semantic understanding and intent determination on leads, outputting structured distribution decisions. It is suited to lead assignment scenarios involving ambiguous expressions and non-standard fields.

Timeline (last 90 days)

Oct 13

Traditional rule routing relies on manually preset if-else conditions (such as 'region=East China and demand=quote'), which has high maintenance costs and is difficult to cover vague expressions; AI routing can directly read the free-text content of the lead and output a structured distribution decision.

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