Contact Sales
EN
繁中EN日本語
ProductRaccoon AI ServiceRaccoon AI GEORaccoon AI CrewPricingRaccoon AI ServiceRaccoon AI GEORaccoon AI CrewBlogCustomersAbout UsContact Us繁中EN ✓日本語
Raccoon AI Blog

All posts

重視食安的保健業，也能放心交給 AI？《荃贏全美》以超過 70% 解決率，讓 AI 智能客服真正走進第一線

Can AI Be Trusted in a Health Supplement Business Where Food Safety Matters? 《荃贏全美》 Brings AI Customer Service to the Front Line with a Resolution Rate Above 70%

When e-commerce companies begin evaluating AI customer service, the first question on the minds of founders and management teams is often not "Can it help us reply to more messages?" but a deeper concern around compliance and trust: "What if the AI gives the wrong answer?" For brands focused on functional health supplements, products are directly tied to customers’ health and consumption safety. Customer inquiries are often highly sensitive and professional in nature—"I’m taking medication for high blood pressure. Can I still take this enzyme product?" "Can I take this collagen supplement during early pregnancy or while breastfeeding?" "Can this supplement improve symptoms of my chronic condition?" If customer service provides vague or incorrect responses, or even makes claims about efficacy, it may not only fail to protect customers’ daily health, but also damage their trust in the brand’s professionalism and potentially violate food and drug regulations. This was the non-negotiable line for Taiwan’s leading functional health supplement brand 《荃贏全美》 when adopting AI. This article shares 《荃贏全美》’s real implementation experience—from organizing complex product knowledge and precisely defining the AI’s response boundaries to ultimately achieving independent resolution of 70% of customer service questions and an average response time of 15 seconds. It also reveals how AI can fill the consultation gap outside service hours while ensuring safety and professionalism, and shorten highly complex communication workflows by more than 50%. Three Major Pain Points in Health Supplement Customer Service: Information Overload, Off-Hour Service Gaps, and Strict Compliance Guardrails Looking back at operations before AI was introduced...

Customer Stories