customer_support · ecommerce · workflow

Zoom Tan and Zoom Fit automate 50% of inbound calls across 100 locations with Replify AI Receptionist

Zoom Tan and Zoom Fit handle roughly 300 inbound calls per day across nearly 100 locations, with the majority asking the same repetitive questions about hours, memberships, and locations, consuming staff time that could be spent on higher-value work.

How it works
Common implementation structure
How this type of workflow is generally built, generalized across documented cases — not tied to any one vendor's stack. Click any stage to read what happens there. Specific products that implement these stages appear in “Tools commonly seen” below.
Stage 1 · Inbound member call
Inbound calls arrive across roughly 95–100 phone numbers routed into corporate support.
Tools used
ReplifyHeyLibby
Outcome

Replify now handles approximately 50% of daily calls autonomously, covering roughly 95 phone numbers and reallocating thousands of staff hours to higher-value work while maintaining consistent sales outcomes.

What failed first

Over a year of evaluation, the team tested five to ten AI platforms that each promised automation but stumbled on complex integrations, high upfront fees, and poor post-sale support.

Results
Time savedThousands of staff hours reallocated
Volumeapproximately 50 percent
Source

https://www.replify.ai/case-studies/ai-case-study-zoom-tan-and-zoom-fit-automating-customer-service-and-sales-with-ai

How we source this →

Grounding & classification
Source type: vendor customer story
27 fields verified against source quotes.
ai receptionistconversational aivoice aifailure mode describedhuman review describedmetric backednamed customerproduction runtime claimedtools describedworkflow describedretailautomation ratedeflection rateemployee productivitytime savedvendor customer storycall center aicustomer supportautonomous resolutionescalation workflowvoice call handling