Demand forecasting is one of the most important aspects of logistics workforce planning.
The process involves analysing expected business activity and translating that activity into workforce requirements. This could include customer forecasts, planned contract growth, warehouse throughput increases, fleet expansion plans or anticipated peak periods.
For example, a retailer preparing for Christmas may forecast a 40% increase in outbound volumes during the final quarter of the year. Workforce planning then translates that demand forecast into practical workforce requirements such as warehouse operatives, pickers, packers, drivers, supervisors and support staff.
The most effective demand forecasting models combine:
- Historical performance data
- Seasonal trends
- Customer forecasts
- Business growth plans
- Productivity assumptions
- Operational targets
Forecasting enables organisations to identify future workforce requirements early enough to act.
Seasonal workforce planning provides one of the clearest examples of demand forecasting in practice. Organisations that understand how peak trading periods will affect labour requirements can begin attraction, recruitment and onboarding activity months in advance. A major UK postal and distribution organisation used workforce forecasting, talent pipeline planning and a targeted candidate attraction campaign to meet requirements of up to 650 workers per day during peak operations.