Recruiting · Production

American Tire Distributors reduces time-to-fill 60% and increases hires 330% with Tessa conversational hiring assistant

The problem

ATD was unsatisfied with a sub-par hiring experience common in their industry and wanted to speed up the hiring process while increasing team productivity.

Workflow diagram · grounded in source
1
Tessa automates hiring tasks
ai_action
“Using a conversational assistant named Tessa, ATD creates a smooth experience by automating tasks like screening, scheduling, and onboarding”
2
Workday ATS integration
integration
“alongside a Workday ATS integration”
3
Premium candidate experience delivered
output
“Despite increasing hiring volume, the organization is still providing a premium candidate experience — boasting a 99+% positive candidate interaction rate”
Reported outcome

Despite increasing hiring volume, ATD achieved a 99+% positive candidate interaction rate, a 60% decrease in time-to-fill, and a 330% increase in hires.

Reported metrics
Time-to-fill60%
Increase in hires330%
Positive candidate interaction rate99+%
Hiring rate increase (webinar figure)313%
Reported stack
TessaWorkday
Source
https://www.paradox.ai/case-studies/american-tire-distributors
Read source ↗

Frequently asked questions

What did this team achieve with this AI workflow?

Despite increasing hiring volume, ATD achieved a 99+% positive candidate interaction rate, a 60% decrease in time-to-fill, and a 330% increase in hires.

What tools did this team use?

Tessa, Workday.

What results were reported?

Time-to-fill: 60%; Increase in hires: 330%; Positive candidate interaction rate: 99+%; Hiring rate increase (webinar figure): 313% (source-reported, not independently verified).

How is this recruiting AI workflow structured?

Tessa automates hiring tasks → Workday ATS integration → Premium candidate experience delivered.