Recruiting · Production
DKSH cuts interview scheduling time by 95% with multilingual AI assistant Genie
The problem
DKSH's hiring process was slow and not designed for their worldwide candidate pool, creating friction for applicants across languages and geographies.
Workflow diagram · grounded in source
1
Candidate applies via WhatsApp
trigger
“candidates to apply in their native language via mobile-first apps like WhatsApp in just 5 minutes”
2
Genie engages, screens, and schedules
ai_action
“Genie automates candidate engagement, screening, and scheduling, making the application process significantly faster and more accessible”
3
Recruiter quality interactions
human_review
“freed up recruiters to focus on quality interactions with qualified talent”
Reported outcome
Deploying Genie reduced interview scheduling time by up to 95%, achieved a 67% conversion completion rate and a 99.6% candidate satisfaction rate, and freed up recruiters to focus on quality interactions with qualified talent.
Reported metrics
Interview scheduling time reductionup to 95%
Application completion time5 minutes
Conversion completion rate67%
Candidate satisfaction rate99.6%
Reported stack
GenieWhatsApp
Frequently asked questions
What did this team achieve with this AI workflow?
Deploying Genie reduced interview scheduling time by up to 95%, achieved a 67% conversion completion rate and a 99.6% candidate satisfaction rate, and freed up recruiters to focus on quality interactions with qualifie…
What tools did this team use?
Genie, WhatsApp.
What results were reported?
Interview scheduling time reduction: up to 95%; Application completion time: 5 minutes; Conversion completion rate: 67%; Candidate satisfaction rate: 99.6% (source-reported, not independently verified).
How is this recruiting AI workflow structured?
Candidate applies via WhatsApp → Genie engages, screens, and schedules → Recruiter quality interactions.