recruiting · travel · workflow
Great Wolf Lodge cuts recruitment ad spend by $700k and improves interview show rates up to 75% with conversational AI assistant Emma
Great Wolf Lodge's recruiters were manually screening and scheduling candidates, causing slow hiring, low overall applicant volume, and high candidate drop-off before interviews.
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 · Candidate applies via phone
Emma is available 24/7 for candidates to apply or ask questions right from their phone.
Tools used
Emma
Outcome
Great Wolf Lodge saved $700k in job advertising spend in 2024, improved interview-show rates up to 75%, dramatically increased applicant volume, decreased no-shows, reduced time-to-hire, and improved candidate satisfaction.
Results
Time savedreducing time-to-hire
Volumeup to 75%
Cost replaced$700k in 2024
Grounding & classification
Source type: vendor customer story
25 fields verified against source quotes.
ai receptionistconversational aichat transcriptmetric backednamed customerproduction runtime claimedtools describedworkflow describedhospitalityconversion increasecost reductioncustomer satisfactioncycle time reductionthroughput increasevendor customer storyhr opsrecruitingautonomous resolutionintake to triage