JUNI Care Boosts Online Revenue 30% With Jinmi AI

JUNI Care Clinic boosted online bookings by 65% and cut response time from 2 hours to 10 seconds after deploying Jinmi AI chatbot.

Key results — 3 months with Jinmi AI

• Customer response rate: 45% → 98%
• Average response time: 2 hours → 10 seconds
• Online appointment bookings up 65%
• Follow-up appointment rate up 25%
• Staffing costs reduced by 40%
• Online revenue up 30%

JUNI Care General Clinic is a healthcare and wellness facility that serves hundreds of patients every day through Facebook, Zalo, its website, and a direct hotline. Before Jinmi AI, the clinic was operating on manual processes that couldn’t scale — and it was costing them both patients and money.

Background

Healthcare requires fast, accurate, and compassionate communication. Patients reaching out to schedule appointments, ask pre-treatment questions, or follow up on their care don’t tolerate long waits. JUNI Care understood this — but their systems couldn’t keep up with demand.

Staff managed multiple channels simultaneously with no unified dashboard. Repetitive tasks — appointment confirmations, follow-up reminders, medication guidance — consumed hours of every working day. To cope with the load, the clinic increased its customer service headcount by 30%. Costs rose. Results didn’t match expectations.

Challenges

Message overload caused patient delays

Every day, hundreds of messages arrived across Facebook, Zalo, the clinic website, and the hotline. The average response time was 2 hours — and patients lost patience. Statistics showed that up to 30% of patients left due to delayed responses, directly damaging both reputation and revenue.

Fragmented channels with no reporting

Each communication channel operated in isolation. The clinic owner had no visibility into which channels were driving results, how individual staff were performing, or what the actual conversion rates looked like. Every decision relied on intuition.

High personnel costs with low efficiency

The 30% increase in customer service headcount didn’t solve the root problem. Appointment reminder errors and data entry mistakes remained high. The clinic was spending more while delivering inconsistent results.

Solution: Jinmi AI

JUNI Care implemented Jinmi AI across all its patient communication channels, building out a structured digital transformation with three core components.

1. Multi-channel integration and 24/7 automated responses

   All messages from Facebook, Zalo, and the website were consolidated into a single management interface. The AI chatbot automatically answered frequently asked questions — about services, pricing, and availability — while complex or sensitive cases were immediately routed to clinical staff. Patients received a response at any hour, including evenings and weekends.

2. Personalised patient care scenarios

   The clinic built dedicated conversation flows for each stage of the patient journey: pre-appointment consultations, follow-up reminders, medication reminders, and post-operative guidance. Jinmi AI stores conversation history and personalises messaging — patients feel individually cared for at every touchpoint.

3. CRM synchronisation and real-time reporting

   The system connected directly to the clinic’s CRM, automatically creating appointments and storing patient records. Performance dashboards for each channel and each staff member updated in real-time, enabling the management team to make accurate, data-driven operational decisions.

Results

“Implementing Jinmi AI in our patient care system has been a breakthrough step in our digital transformation journey. Thanks to Jinmi, our customer service team not only experiences a lighter workload from repetitive daily tasks but can also focus more on complex cases that require expertise. I believe this provides the foundation for improving care quality and enhancing patient satisfaction.” — Ms. Hoàng Anh, Representative, JUNI Care

Three months after deployment, every key metric had shifted dramatically:

Metric	Before	After
Customer response rate	45%	98%
Average response time	2 hours	10 seconds
Online appointment bookings	Baseline	+65%
Follow-up appointment rate	Baseline	+25%
Staffing costs	Baseline	-40%
Online revenue	Baseline	+30%

Missed patient messages were virtually eliminated. The chronic patient follow-up rate improved by 25% — supported by automated daily medication reminders. And management gained full visibility into patient sources and staff performance for the first time.

Key takeaway: In healthcare, delayed responses don’t just cost revenue — they cost patient trust. Automating the first point of contact frees clinical staff for the cases that genuinely require their expertise, while ensuring no patient is left waiting.

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