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Average Ratings 0 Ratings
Description
Maple is an innovative voice AI platform tailored for the restaurant industry and similar service-oriented businesses, designed to utilize advanced natural language processing and menu-specific intelligence to handle incoming calls around the clock. This system not only accurately processes orders but also manages reservations through booking, modification, and cancellation, all while intelligently upselling and accommodating multiple languages to ensure teams never miss a business opportunity due to unanswered calls or manual interventions. By integrating seamlessly with restaurants' point-of-sale systems, Maple comprehensively understands menus, addresses dietary restrictions and allergies, captures orders with precision, personalizes guest interactions, and drives higher average ticket sizes alongside improved operational efficiency. Additionally, its robust infrastructure is built for scalability and reliability, serving both single and multi-location operations, allowing restaurants to automate routine call tasks, enhance order capture, and elevate guest experiences without the need for additional staffing resources. Ultimately, Maple empowers restaurants to focus on delivering exceptional service while streamlining their operations effectively.
Description
Zo, developed by Zocdoc, is an innovative AI-driven phone assistant designed to swiftly manage inbound scheduling calls, eliminating the frustration of hold times and traditional IVR systems while efficiently booking patient appointments directly into existing electronic health record (EHR) systems through natural, conversational dialogue. This tool can handle an unlimited number of concurrent calls around the clock, autonomously addressing up to 70% of scheduling inquiries and only passing more complicated issues to human staff as necessary. Zo can be tailored to fit the specific booking protocols of different practices, integrates flawlessly with their telecommunication and EHR systems, and smartly directs patients by, for example, sending routine requests to nurse practitioners while reserving more complex matters for physicians. Practices are charged only for successfully scheduled appointments, avoiding any upfront costs, per-minute fees, or lengthy contracts, thus presenting a low-risk option for implementation. Initial users have reported that average call resolution times are under 3 minutes and 30 seconds without any hold time, coupled with patient satisfaction ratings that surpass 80%. This level of efficiency not only enhances workflow but also significantly improves the overall patient experience.
API Access
Has API
API Access
Has API
Integrations
Clover
Google Cloud Platform
OpenTable
Shift4
Square POS
Toast
Integrations
Clover
Google Cloud Platform
OpenTable
Shift4
Square POS
Toast
Pricing Details
$50 per month
Free Trial
Free Version
Pricing Details
Free
Free Trial
Free Version
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Vendor Details
Company Name
Maple
Founded
2023
Country
United States
Website
www.maple.inc/
Vendor Details
Company Name
Zocdoc
Founded
2007
Country
United States
Website
www.zocdoc.com/about/ai-phone-assistant/