Integrated specialty treatment record management, session-by-session tracking of treatment packages and an omnichannel AI assistant (Facebook, Zalo, Website) with a deep understanding of Vietnamese that books appointments and sends follow-up reminders automatically.
1. Business Context & Challenges
Medical aesthetics is a high-value service sector, and customers often research treatments at night or on weekends:
1.1. Slow responses to leads outside business hours
Evenings are when customers send the most pricing inquiries, but with too few consultants on duty, wait times of 15-30 minutes drove prospects to competing clinics.
1.2. No-show rate as high as 35%
Manual reminder calls annoyed customers and came across as unprofessional, leaving doctors' time and treatment rooms underused.
1.3. Scattered treatment records that could not be tracked session by session
Medical records and before/after treatment images were stored in silos, making it hard for doctors to follow each client's recovery progress.
2. SUDO's Tailor-Made Solution Architecture
Sudo combined a deeply fine-tuned large language model (LLM) with a CRM purpose-built for managing medical clients:
2.1. 24/7 AI customer care assistant fluent in Vietnamese aesthetics terminology
Trained on more than 10,000 real consultation conversations, the AI knows the price list, contraindications and treatment protocol of every service, chats naturally and suggests suitable appointment slots in under 3 seconds.
2.2. Smart automated reminders via Zalo ZNS
24 hours and 2 hours before each appointment, the system automatically sends personalized confirmation messages via Zalo ZNS, letting customers confirm or reschedule with a single tap.
2.3. Electronic treatment records and image management
All client records are digitized, with secure role-based access for doctors to review before-and-after photos of each session and assess recovery outcomes visually.
3. Measured Results & Before-and-After Comparison
After 4 months in production across 8 aesthetic clinics:
- Response time to customer messages: From 15-30 minutes down to under 3 seconds, 24/7/365 (90% faster).
- No-show rate: Down from 35% to below 8.5% (75% less risk of wasted doctor capacity).
- Booking conversion rate: Up from 18% to 32% (42% more new revenue).
- Night-shift customer care staffing costs: 50% lower operating costs as AI automates 80% of basic questions.
4. What the Client's Leadership Says
"Sudo's AI assistant helped Aura Clinic grow online revenue by 42% within just 3 months of deployment. Our doctors and consultants have clear client records on their iPads, and the share of returning clients buying additional treatment packages has risen dramatically."
Dr. Nguyen Mai Phuong, Medical Director, Aura International Clinic
5. Strategic Recommendations for Mid-Sized & Large Enterprises
- Customer care AI must be fine-tuned on your own business data: This ensures medical accuracy and a consistent brand voice.
- Integrate multi-channel reminders via Zalo ZNS and SMS: This is the most effective way to eliminate no-shows.
- Protecting patient medical records is the No. 1 priority: Comply strictly with regulations on personal health data protection.
