Scale seasonal hiring without expanding your regular team
Fill warehouse and driver roles before peaks hit
Peak season turns a steady applicant flow into a flood. Type4Work lets your hiring team handle a surge while still move fast.
Logistics hiring challenges
Peak Season Pressure
When Q4 hits and you need hundreds of warehouse workers — yesterday. Manual hiring can't scale fast enough.Q4 hits and you need hundreds of warehouse workers — yesterday. Manual hiring slows you down right when everything starts to speed up.
Driver Shortages
Good CDL drivers have options. If you’re slow to respond, they’re already moving on to someone else.
Multi-Location Chaos
Hiring for 50+ sites means 50 different managers and 50 different “urgent” messages, all hitting your hiring team at once.
Type4Work solves it
Role-Specific Screening
Different questions for drivers, pickers, sorters, and managers — all automated.
- CDL check built into the driver flow
- Physical requirements disclosure upfrontPhysical requirements covered upfront, not hidden in the fine print
- Shift preferences matched across locations so people land in the right site
- Automatic role routing based on qualificationsCandidates automatically routed into the roles they’re actually qualified for
High-volume Scheduling Engine
Schedule hundreds of interviews per week.
- Keep individual slots for specialized positions
- Timezone-aware scheduling in every region
Pipeline Analytics
See where your pipeline is working — and what’s not — at every site.
- Spot the step in your screening where good candidates are dropping out.
Real results
What logistic operations see when the exact same team uses Type4Work during peak volume.
Peak volume handled by the same team
Time-to-offer, down from 9
Candidate NPS, up from 44
Omniva expands crowd-delivery across the Baltics using Type4Work
When high-volume hiring demands instant scaling, it is time 4 real results — learn how Omniva engaged an exceptionally high volume of crowd-courier applicants during the golden first hours of their interest.
Read the case study