Why Fixed Shifts Don't Work for Delivery

A standard 9 am to 5 pm shift makes no sense for a food delivery operation. Peak demand for delivery falls in three windows: lunch (12:00-14:00), late afternoon snacks (15:30-17:00), and dinner (18:00-21:30). A driver who starts at 9 am sits mostly idle until noon, then burns through peak demand without relief, and finishes at 5 pm just as the dinner rush begins.

Matching drivers to demand means abandoning fixed 8-hour blocks and building schedules around actual order volumes.

Analyse Your Order Data First

Before building any schedule, pull your order data by:

  • Hour of day (when do orders peak?)
  • Day of week (Friday and Saturday evenings typically run 40-60% above midweek in most European markets)
  • Weather patterns (rain increases delivery orders by 20-35% on average)
  • Local events (concerts, sports matches, school holidays)

Most delivery operations find three or four distinct demand profiles: quiet weekday mornings, busy weekday lunch, slow weekday afternoon, and heavy evening/weekend. Your shift structure should have a different staffing level for each.

Zone-Based Scheduling

If your operation covers multiple delivery zones, schedule drivers to zones rather than to a generic pool. A restaurant district with 12 active restaurants from 6 pm to 10 pm needs more drivers than a residential area with the same number of households but lower order frequency.

Zone-based scheduling lets you:

  • Concentrate drivers where order density is highest during each time window
  • Reduce dead mileage between pickups and drops
  • Spot zones that chronically underperform because of driver shortages

Track average delivery time by zone. If zone B consistently runs 8 minutes longer than zone A for comparable distances, it usually means zone B is chronically understaffed at peak times.

Shift Windows That Match Demand

Instead of one or two long shifts, consider building around 4 shift windows:

  1. Morning window (08:00-12:00): Low volume, 1-2 drivers for early orders and restaurant prep pickups
  2. Lunch window (11:30-14:30): Peak 1, 4-6 drivers depending on market size
  3. Afternoon window (14:00-18:00): Moderate volume, 2-3 drivers
  4. Dinner window (17:30-22:00): Peak 2, highest demand, 6-10+ drivers

Overlapping start times between windows ensures no coverage gap during handover. A driver finishing at 14:30 and another starting at 14:00 means 30 minutes of double coverage during the transition from lunch to afternoon - which matters when the last lunch orders often arrive late.

Managing Flexibility Without Losing Reliability

Delivery drivers often expect schedule flexibility. Some work for multiple platforms. Managing this requires:

  • Setting a guaranteed minimum hours threshold per week (e.g., 20 hours minimum for any driver on your roster)
  • Publishing shifts at least 5 days in advance so drivers can plan their availability across platforms
  • Having a clear policy on shift-locking: once a driver accepts a shift, what are the consequences of dropping it?

Reliability matters more in delivery than in most roles. An unplanned vacancy during Friday evening peak can mean 30+ orders delayed. Incentivise reliability with a small availability bonus for drivers who complete all scheduled shifts in a week without a drop.

Vehicle and Break Logistics

Driver fatigue and legal break requirements add another layer. Under EU rules, any employee working more than 6 hours must receive a minimum 30-minute break. For drivers working a dinner window from 17:30 to 22:00 - a 4.5-hour shift - no break is legally required, but physical reality says otherwise.

Factor in:

  • 10-15 minutes per 2-hour driving block for fuel, bathroom, and brief rest
  • Adequate handover time between drivers sharing a vehicle (15 minutes minimum)
  • Vehicle availability: if you operate 10 drivers but only 8 vehicles, scheduling everyone for the same 17:30 start creates an immediate conflict

What Good Scheduling Looks Like

The output of good delivery scheduling is a cost-per-order that stays stable across demand levels - not spiking on busy evenings because you called in expensive last-minute drivers, and not bleeding on quiet mornings because you have 8 drivers for 12 orders.

Track labour cost as a percentage of delivery revenue, segmented by time window. If your dinner window runs 18% labour cost but your lunch window runs 34%, the lunch shift structure needs adjustment.

Try it at rezano.lv.