Alibaba Cloud has engineered a dual-pathway support system that significantly reduces reliance on expensive large language models for resolving customer issues. The platform, called DualLane, automatically categorizes incoming support queries into routine and complex types, directing straightforward problems to pre-built solution templates whilst reserving computational resources for genuinely complicated scenarios that require AI reasoning.

The company reports the system delivers measurable advantages over conventional AI-driven support tools, achieving 96.5% accuracy while reducing processing latency and operational expense. By channelling high-frequency issues through template-based responses rather than token-intensive AI inference, Alibaba Cloud minimises computational waste whilst maintaining service quality. The system identifies emerging issue patterns and uses them to expand its template library, allowing the company to shift additional problems from the expensive path to the efficient path over time.