The customer's technical team faced a classic staffing bottleneck: many customers, frequent questions, and a large portion of inquiries were complex in volume but standardized in nature—such as product recommendations for a given metric, basic usage guidance, interpretation of common test methods, and specification explanations in documentation. If engineers replied to all of these one by one, two outcomes followed: the technical team was overwhelmed by day-to-day trivial work, and high-value customers and difficult projects could not be served properly.

Our AI technical support service enables the customer to upload technical materials (manuals, brochures, test data, application guides, FAQs, etc.) to build a knowledge base, and then provide a "technical engineer-like" experience through a chat interface. The system cites relevant source content in real time to produce consistent, compliant, and traceable answers. For higher-risk or judgment-heavy questions, it can hand off to the human technical team with one click—attaching the full context, retrieved references, and a draft answer—significantly reducing takeover cost for engineers.

After rollout, the technical team refocused on higher-value work: key account support, complex application issues, and formulation/testing collaboration. The result: the same headcount can cover more customers, while quality is more stable, response is faster, and external messaging is more consistent.