AI case study

ZenotiCall quality monitoring

Zenoti manually audited <1% of calls. Now, AI reviews 73,000+ monthly interactions to score empathy and flag resolution issues.

Published|7 months ago

Key results

Monthly Call Audits
73k+
Calls Flagged Monthly
~1,600
Audit Coverage
100%
vs <1% audit rate

Result highlights

Unlock 3 result highlights

The story

Context

A cloud software provider for the beauty and wellness industry serving over 30,000 businesses across 50 countries.

Challenge

The support team handled thousands of calls monthly but could manually audit less than one percent of that volume. This lack of coverage provided an...

Solution
Unlock full story

Quotes

Unlock 2 more quotes

The company

Business management platform for salons, spas, medspas, and fitness centers.

IndustryHealthcare Providers
LocationBellevue, WA, USA
Employees1K-5K
Founded2010

The vendor

Amazon Web Services (AWS) logo

Amazon Web Services (AWS)

aws.amazon.com

Cloud computing platform and on-demand infrastructure services.

IndustryTechnology
LocationSeattle, WA, USA
Employees100K+
Founded2006

Use case

Zenoti's Call quality monitoring is part of this use case:

Conversation Intelligence
33 case studies(+100% YoY)
Proven impact?
LowModerateVery Strong
7.5Strong

Similar Case Studies

Related implementations across industries and use cases

43 AI case studies in Conversation Intelligence

195 AI case studies in Healthcare Providers

563 AI case studies in Product Engineering