recruiting · ecommerce · workflow
Burlington automates hiring across 1,200+ stores with Paradox conversational AI assistant Allison
Burlington's manual and decentralized hiring processes couldn't keep pace with rapid expansion goals, with store leaders overwhelmed by administrative tasks creating a bottleneck to growth from 800 to 2,000 stores and the hiring of over 100,000 new team members annually.
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 contacts system 24/7
The system accepts candidate communication 24/7 as a core part of the automated hiring process.
Tools used
ParadoxAllison
Outcome
Burlington now hires more efficiently, engages a higher quality of candidates, and provides significant relief to store managers — cutting interview volume in half while maintaining proper staffing levels.
Results
Time savedcandidate interaction after-hours
Volumein half
Grounding & classification
Source type: vendor customer story
19 fields verified against source quotes.
ai agentconversational aimetric backednamed customerproduction runtime claimedtools describedworkflow describedretailcycle time reductionemployee productivitytime savedvendor customer storyappointment schedulingrecruitingautonomous resolution