We saved 32% on manpower by using GPT-4 to process millions of after-sales tickets. Avoid these three common mistakes.
This article is based on the real experiences of a European cross-national home appliance retail startup and shares the actual benefits of using GPT-4 in multi-language after-sales ticket scenarios, including a 32% reduction in labor costs and an improved accuracy in fault diagnosis. It also identifies three common pitfalls: out-of-control costs, rate limiting, and misjudgment of sensitive content, and provides clear use cases and tips for getting started.
