Tax Service Demand Governance Uses Large Models to Move Toward Preventive Handling

China Tax News reported that tax authorities continue to apply AI and large models to the collection, cleansing, classification, and deeper analysis of tax-service demand data within the taxpayer-demand resolution mechanism. Public cases show that Anhui tax authorities use a professional large model for tax service demands to cluster requests automatically and identify latent issues, reducing duplicate work orders by 54 percent and cutting repeated cross-channel inquiries by more than 60 percent. This progress indicates that tax informatization is extending from reactive case handling to preventive governance, rule alignment, and system optimization.