Cutting delivery time and cost: zones, dispatch, courier call timing

Logistics is the second-largest expense in delivery after product cost. Route optimization can save up to 30% on logistics. Let's break down specific methods.

Why Optimize Routes

Typical problems of suboptimal logistics:

• Courier drives an extra 5-10 km per day
• Orders are delivered 15-20 minutes late
• Empty runs (returning to base without an order) — up to 30% of the route
• Fuel overspending and vehicle wear
• Customer dissatisfaction from long waits

With 50 orders per day, suboptimal logistics costs $40-64 daily.

Method 1: Zoning

Divide the city into zones and assign couriers to each zone:

• Center — high order density zone, 1-2 couriers
• North/South — 1 courier per direction
• Remote areas — delivery in specific time windows

Zoning reduces empty runs by 40-50% and speeds up delivery by 15-20 minutes.

Method 2: Order Clustering

Grouping orders by geographic proximity:

• Courier takes 3-4 orders in one direction instead of 1
• Time between deliveries drops from 20 to 8-10 minutes
• One route covers more orders

Clustering requires an automatic order assignment system that considers courier location and delivery addresses.

Method 3: Dynamic Dispatch

Instead of manual order distribution by an operator, the system automatically assigns orders to the nearest available courier:

• Current courier location considered (GPS)
• Time to pickup point
• Courier's direction of movement
• Current load (how many orders the courier already has)

Automatic dispatch speeds up delivery by 25-30% compared to manual.

Method 4: Sequence Optimization

When a courier has multiple orders, the system determines the optimal delivery order:

• Algorithm considers each order's ready time
• Distance between delivery points
• Time constraints (promised time)
• Product type (hot food — priority)

Method 5: Predictive Analytics

Use historical data for forecasting:

• Peak hours — deploy more couriers in advance (12:00-14:00, 18:00-21:00)
• Popular zones — position couriers closer to demand points
• Seasonality — adjust staff to order volume

Optimization Results

Real results from Delever clients after route optimization:

• Average delivery time decreased from 45 to 32 minutes (−29%)
• Deliveries per courier per day increased from 15 to 22 (+47%)
• Logistics costs decreased by 28%
• Customer satisfaction rating grew from 4.1 to 4.6

Conclusion

Route optimization is one of the most effective ways to increase delivery profitability. Start with zoning and automatic dispatch, then add clustering and predictive analytics.