Customer support · Production

Premier Sportsplex automates 65% of incoming calls with Replify AI receptionist

The problem

Staff at Premier Sportsplex and its sister facilities were constantly interrupted by incoming calls during practices and peak hours, with coaches pulled mid-session and front desk staff unable to focus on in-person members. Hiring additional full-time staff was not viable, but leaving calls unanswered was not acceptable either.

Workflow diagram · grounded in source
1
Customer contacts via any channel
trigger
“HeyLibby was deployed across phone, text, chat, and email”
2
AI resolves routine inquiries
ai_action
“Replif handled routine questions instantly — hours, pricing, rentals, program info”
3
Route across facility brands
routing
“The system even routed calls correctly across Premier's different facilities, reducing mix-ups and wasted time”
4
Escalate complex issues
human_review
“escalated only the calls that truly required a human touch, like cancellations or complex membership issues”
Reported outcome

Within months, Replify fully automated 65% of incoming calls, and by April 2025 nearly 50 inquiries per month were handled entirely by AI.
Staff hours were freed for in-person service and the business turned a customer service bottleneck into a competitive advantage without adding headcount.

Reported metrics
Incoming calls fully automated65%
monthly inquiries handled entirely by AI (April 2025)nearly 50
Staff hours freedgiving back staff hours
Customer satisfactionimproving customer satisfaction
Reported stack
ReplifyHeyLibby
Source
https://www.replify.ai/case-studies/automating-sales-customer-service-at-busy-recreation-facilities
Read source ↗

Frequently asked questions

What did this team achieve with this AI workflow?

Within months, Replify fully automated 65% of incoming calls, and by April 2025 nearly 50 inquiries per month were handled entirely by AI.

What tools did this team use?

Replify, HeyLibby.

What results were reported?

Incoming calls fully automated: 65%; monthly inquiries handled entirely by AI (April 2025): nearly 50; Staff hours freed: giving back staff hours; Customer satisfaction: improving customer satisfaction (source-reported, not independently verified).

How is this customer support AI workflow structured?

Customer contacts via any channel → AI resolves routine inquiries → Route across facility brands → Escalate complex issues.