Recruiting · Production
Paradox Conversational ATS cuts Sodexo's time to apply by 60%
The problem
Sodexo's hiring process was highly manual and not set up to scale with their massive operation, resulting in slow candidate progression and frequent drop-off.
Workflow diagram · grounded in source
1
Candidate enters hiring process
trigger
“their hiring process wasn't set up to be optimized at scale”
2
Conversational AI auto-engages candidate
ai_action
“Powered by conversational AI, it's able to automatically engage with candidates from the initial screening through onboarding”
Reported outcome
After deploying Paradox's Conversational ATS, Sodexo achieved a 60% decrease in time to apply and a 21% increase in total applications.
Reported metrics
Time to apply60%
Total applications21%
Reported stack
Paradox's Conversational ATS
Frequently asked questions
What did this team achieve with this AI workflow?
After deploying Paradox's Conversational ATS, Sodexo achieved a 60% decrease in time to apply and a 21% increase in total applications.
What tools did this team use?
Paradox's Conversational ATS.
What results were reported?
Time to apply: 60%; Total applications: 21% (source-reported, not independently verified).
How is this recruiting AI workflow structured?
Candidate enters hiring process → Conversational AI auto-engages candidate.