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Rostor
I.02·Industry pack · Warehouse

Volume in.
Labor out.

Rostor reads your inbound truck schedule, ASN volume, and historical pick rates — and writes a roster that puts the right body, with the right cert, in the right zone, at the right hour. Built for cross-dock, case pick, each pick, returns, and everything between.

−22%
peak-week overtime spend
+14%
units per labor hour (UPLH)
−31%
incident-cost claims, first year
8 min
median time to re-fill a call-out
01 / The work nobody automated

The realities your existing tools pretend don't exist.

Volume is lumpy, headcount isn't

ASNs land at 4 PM Friday. By Monday 6 AM you need a roster. Most teams add a 15% buffer 'just in case' and live with the cost.

Cert walls slow the floor

Forklift, hazmat, MHE — one expired cert and a body is on the floor in shoes, not boots. Tracking them in HR is too late.

Cross-docking has its own rules

A cross-dock shift looks nothing like a case-pick shift. Wave windows, dock-door assignment, trailer-load sequencing — none of it lives in a generic shift app.

Peak season is a different operation

Black Friday through New Year is a different building. Your roster engine needs to handle 2.4× volume without breaking labor law.

Safety stand-downs disrupt everything

An OSHA-triggered safety stand-down clears the floor for an hour. Most schedules can't absorb it without overtime cascades.

3PL contracts have SLAs

If a client SLA promises 99.5% on-time ship, your roster needs to model it — and the penalty when it slips.

02 / What Rostor brings to your floor

Pre-tuned for your work — not a generic shift app.

Volume-driven headcount

Pull inbound ASN, outbound order count, or forecasted volume. The solver back-solves to required headcount per zone per hour.

MHE & cert walls

Forklift, reach, order picker, hazmat, OSHA 10/30 — credential expiry hard-blocks assignment. The system never lets a non-certified body onto the equipment.

Zone-aware routing

Cross-dock, case-pick, each-pick, returns, value-add — each is a sub-roster with its own rules. The solver coordinates handoffs.

Peak ramp planning

Model 4–12 week peak ramps. The solver builds a hire-and-train curve and tells you when to start.

Voluntary OT / VTO

Worker-initiated VTO and VTO with skill prioritization. The solver only releases volume buffer is met.

Trailer-aware shifts

Carrier cut-off times become hard constraints. If FedEx pickup is 18:30, the solver guarantees the wave finishes by 18:15.

03 / Compliance packs included

Authored. Versioned. Audit-ready.

  • OSHA 1910 + 1926 (recordable rate, stand-down)
  • DOT HOS for in-cab roles (if applicable)
  • DOL Wage & Hour — minor work restrictions
  • Hazmat (49 CFR 172.704) recurrent training enforcement
  • California Warehouse Worker Quotas (AB 701)
  • NY Warehouse Worker Injury Reduction Act
  • EU Working Time Directive (across EMEA DCs)
  • Teamsters, UFCW, USW collective bargaining authoring
04 / Integrations that matter

Plug into the stack you already run.

Manhattan Active WM
Blue Yonder WMS
SAP EWM
Oracle WMS Cloud
Körber WMS
NetSuite + Acumatica ERP
Workday HCM
UKG Pro Workforce
ADP Workforce Now
Snowflake + Databricks (CDC)
05 / Proof
"Last peak we ran 14% higher volume with 9% less overtime. We didn't hire a single new manager. The system showed us we were over-staffing pick zones at 6 AM and chronically under-staffing returns at 2 PM. We never would have found it in a spreadsheet."
Marcus Volpe
VP Operations · Riverbend Logistics · 4 DCs, 2,100 associates
Case metrics · trailing 6 months
Peak-week overtime spend
−22%
Units per labor hour, peak
+14%
Workers' comp incident cost
−31%
SLA miss rate (was 2.1%)
0.4%

See Rostor on your warehouse floor.

A real operator from your industry will run a 20-minute working session — no sales pitch, no slides we'd rather not show.

Book a working session