Replify AI handles over 5,000 calls and saves 178 staff hours for SWEAT440 fitness franchise
SWEAT440's front desk-less model kept instructors on the training floor at all times, making in-studio call handling impossible. As the franchise expanded to 25 locations with over 120 more in development, routine question volume grew across the network, the contracted call center became costly, and response consistency varied across studios.
The contracted call center could not scale cost-effectively with the growing franchise; costs rose and multi-unit franchisees felt the impact as operations expanded, until the system's limits were exposed.
In the first six weeks, Replify AI handled over 5,000 calls and saved 178 staff hours.
Support costs fell by roughly 53%, instructors remained focused on coaching, and SWEAT440 gained a unified support layer prepared for rapid network expansion.
Frequently asked questions
What did this team achieve with this AI workflow?
In the first six weeks, Replify AI handled over 5,000 calls and saved 178 staff hours.
What tools did this team use?
Replify, Zoom.
What results were reported?
Calls handled (first six weeks): over 5,000; Staff hours saved: 178; Support costs: roughly 53% (source-reported, not independently verified).
What failed first in this deployment?
The contracted call center could not scale cost-effectively with the growing franchise; costs rose and multi-unit franchisees felt the impact as operations expanded, until the system's limits were exposed.
How is this customer support AI workflow structured?
Member contacts via channel → AI answers from knowledge base → Route complex issues to staff → Staff handles escalated request.