Perry Ellis · Yotpo
1.4% — conversion rate
Independently reportedRetail & e-commerce · Customer support · NLP · Scaled
Customer support
Dental AI · Datavise
Vendor-reportedHealthcareIn productionLLM
Vendor-reported. The customer is named and the numbers are quoted from the source page, but the account comes from the vendor. No independent confirmation.
Reported by datavise.ai (vendor self-report). Checked against the source page on 2026-09-06. 3 of 3 figures below appear on that page word for word.
The problem
Dental AI needed an AI-powered system for 24/7 patient call handling to reduce administrative burden and avoid missed calls during off-hours, which led to lower patient satisfaction.
What was deployed
- Vendor
- Datavise
- Products
- custom AI agent, VoiceAI Receptionist
- Technique
- LLM
- Build or buy
- Built in-house or to order
- Deployment
- Custom build
- Scale
- across multiple clinics
What changed
Each row is quoted from the source. Figures we could not find on the page in those words are marked — they are kept, not deleted, so you can judge them.
1,000,000processed calls and patient requests
“1 mln processed calls and patient requests”
Quoted word for word from the source
patient satisfaction
“+43% improvement in patient satisfaction”
Quoted word for word from the source
clinic operational efficiency
“+28% increase in clinic operational efficiency and reduction in administrative tasks”
Quoted word for word from the source
“Datavise expertise in custom AI agent development has transformed our operations, allowing us to provide 24/7 patient support with high levels of satisfaction. The seamless integration of advanced AI technologies has enabled us to deliver exceptional service to our clinic clients.”
Difficulties and limits
- Handling the complexities of patient interactions over the phone
- Providing 24/7 support
- Reducing the administrative burden on clinic staff
- Existing system not equipped to manage continuous patient communication without human intervention
- Risk of missing patient calls during off-hours
- Increased administrative burden on clinic staff during peak hours
Sources
- datavise.ai — vendor self-report
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