Demand Forecasting
Predict operational volumes (order lines, parcels, pallets, shipments) by site, by day, by shift window. Accounting for seasonality, campaigns, and client contracts.
Supply Chain Workforce
Match your workforce to demand, shift by shift, site by site.
Turn demand forecasts into headcount requirements and shift plans that logistics managers can review, adjust, and deploy, reducing over- and understaffing across your operations.
The Challenge
Manual shift planning cannot keep up with volatile demand.
In warehouses, distribution centers, and logistics hubs, demand fluctuates by the day, driven by order volumes, seasonal peaks, and client contracts. When shift plans are built on gut feel or static templates, the result is predictable: too many people on quiet days, too few when volume spikes.
Overtime costs climb, service levels slip, and planners spend hours each week doing work that a demand signal could largely automate.
Overstaffing
Paying for capacity you do not need
Understaffing
Missed SLAs and burnt-out teams
Manual planning
Hours spent building shift rosters by hand
Overtime spikes
Reactive last-minute cost overruns
The Approach
From demand signal to actionable shift plans.
Demand ForecastHeadcount ModelShift GenerationConstraint CheckManager ReviewDeployment
Headcount & Shift Plans
Convert demand into FTE requirements per role and skill type, then generate shift plans that respect labor rules, contracts, and availability.
Manager Review & Deploy
Plans are presented in a manager-friendly dashboard for review and adjustment. Approved plans can be exported to payroll or scheduling systems.
Outcomes
What demand-driven workforce planning delivers.
Right people, right time
Staff levels match actual workload
Lower labor waste
Less overtime, fewer idle hours
Faster planning cycles
From hours of manual work to minutes
Manager confidence
Plans they can see, trust, and adjust
In Practice
What this looks like
Illustrative scenario
Distribution & freight
A freight operator with depot operations across multiple sites was planning shifts manually, a weekly process that took team leads several hours and still regularly missed the mark. Overstaffing on quiet days, scrambling on peaks. Overtime was the default buffer.
RivNox built a demand forecasting layer on top of historical volume data and translated output into day-level headcount targets per site. Team leads received a generated shift plan each week to review and adjust, cutting planning time significantly and giving them a defensible baseline.
−60%
Weekly planning time
−22%
Unplanned overtime hours
Short PoC
From kickoff to first live plan
Fit Check
Is this the right solution for you?
Best fit
- Logistics, warehouse, or distribution operations with variable daily volumes.
- Multi-site operations where each location has different demand patterns.
- Teams spending significant time on manual shift planning or last-minute adjustments.
- Organizations with historical volume data they are not using for staffing decisions.
Usually not ideal
- Very small teams where manual scheduling is genuinely simple and fast.
- Operations with completely fixed, contract-driven headcount (no flexibility).
- Situations where no volume or demand data is available at all.
Ready to plan shifts from demand, not guesswork?
Let's explore whether forecast-driven workforce planning fits your operations.
Book a 30-minute discussion to see if there's a match