recruiting · logistics · workflow
DKSH cuts interview scheduling time by 95% with multilingual AI assistant Genie
DKSH's hiring process was slow and not designed for their worldwide candidate pool, creating friction for applicants across languages and geographies.
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 WhatsApp
Candidates apply in their native language via mobile-first apps like WhatsApp in just 5 minutes.
Tools used
Genie
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.
Results
Time savedup to 95%
Volume67%
Grounding & classification
Source type: vendor customer story
21 fields verified against source quotes.
chatbotconversational aichat transcriptmetric backednamed customerproduction runtime claimedtools describedworkflow describedprofessional servicesconversion increasecustomer satisfactioncycle time reductionemployee productivityvendor customer storyrecruitingautonomous resolutionintake to triage