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A dental clinic chain

The chain acquires most patients through Dianping and its official account, but support staff are busy with in-clinic reception during the day, so online inquiries are answered slowly. The clinic directors saw the point clearly: dental care is an urgent need people act on as soon as it occurs to them, and response speed decides which clinic they walk into.

Key results
Night-time inquiry coverage 100% · Online bookings up 41% · Booking no-show rate down 33% · Patient education output 16 articles/month

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9 clinics, about 120 clinical staff. Products used: ZClaw Service AI customer service, ZClaw Growth AI marketing, private deployment

The problem

Evening and weekend inquiries made up nearly 40% of the total and went essentially unanswered. Bookings were recorded by hand, and mis-entries and omissions caused no-shows and scheduling conflicts. The team wanted patient education content to win new patients, but doctors had no time to write it. Support scripts differed from clinic to clinic, and price answers were inconsistent.

Our solution

We deployed an AI health assistant, strictly scoped to inquiries and booking with no diagnostic advice: it handles symptom questions, treatment introductions and price answers around the clock, registers the booking inside the conversation and sends automatic reminders. A medical knowledge base aligns service scripts across all nine clinics, and education content is drafted with AI, reviewed by doctors, then published to the official account and short-video channels.

Implementation

  1. Weeks 1-2

    Compliance assessment and knowledge base build, defining the boundaries of AI service.

  2. Weeks 3-5

    Connect the assistant to the official account and Dianping store pages, and integrate booking.

  3. Weeks 6-8

    Automate follow-up reminders and no-show recovery.

  4. Week 9 on

    Start the education content program, with monthly reviews of visit conversion.

Verifiable results

Night-time inquiry coverage

close to zero→100%

Online bookings

baseline→up 41%

Booking no-show rate

baseline→down 33%

Patient education output

2 articles/month→16/month

* Results describe this project; actual outcomes vary with each company's baseline and scope.

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