What Is Multi-Drop Route Planning?
Multi-drop route planning is the process of organizing a delivery route with multiple stops (drops) into the most efficient sequence. For courier drivers handling 50-200 parcels per day, good multi-drop planning is the difference between finishing at 3pm and finishing at 7pm.
Why Manual Planning Fails at Scale
When you have 5-10 stops, you can eyeball a reasonable route. But multi-drop complexity grows exponentially:
- 10 stops = 3.6 million possible sequences
- 20 stops = more possible sequences than atoms in the universe
- 100 stops = mathematically impossible to solve by hand
This is why professional couriers need route optimization software — the problem is literally too complex for the human brain.
How Multi-Drop Route Optimization Works
Modern route planners like RouteMate use algorithms to solve the Travelling Salesman Problem (TSP) and its variations:
- Geocode all addresses — convert text addresses to GPS coordinates
- Calculate distance matrix — determine drive time between every pair of stops
- Apply constraints — time windows, priorities, vehicle capacity
- Run optimization — test thousands of permutations to find the best sequence
- Factor in traffic — adjust for real-time road conditions
The entire process takes seconds, even for routes with 200+ stops.
Multi-Drop Planning Best Practices
1. Group by Geography
Before optimizing, ensure your stops are geographically sensible. If you're covering a wide area, consider splitting into morning and afternoon zones rather than one massive route.
2. Front-Load Priority Stops
Mark time-sensitive deliveries (business hours, appointment windows) as priority stops. Good route planners will schedule these first and fit remaining stops around them.
3. Use Bulk Import
Typing 100 addresses manually is madness. Use CSV import to upload your stop list from a spreadsheet, or use AI label scanning to capture addresses from shipping labels.
4. Leave Buffer Time
Optimized routes calculate minimum drive time, but real-world delays happen — parking, apartment intercoms, customer conversations. Add 10-15% buffer to your estimated completion time.
5. Re-Optimize When Things Change
Routes rarely survive first contact with reality. When stops get added, removed, or change priority, re-optimize rather than manually inserting the change.
Tools for Multi-Drop Route Planning
RouteMate (Recommended)
- AI label scanning for fast stop entry
- Optimizes routes with 500+ stops
- Real-time traffic consideration
- Free tier available
- Built for Australian couriers
Circuit
- Decent multi-drop optimization
- Team dispatch features
- No AI scanning or free tier
- Higher price point
OptimoRoute
- Enterprise-grade optimization
- Complex constraint handling
- Expensive, steep learning curve
- No free tier
Real-World Multi-Drop Routing Example
Here's a typical workflow for a courier using RouteMate:
7:00 AM — Arrive at depot, scan 80 parcel labels using AI scanner (10 minutes)
7:10 AM — Hit optimize — route calculated in 8 seconds
7:12 AM — Review route on map, lock first and last stops, re-optimize middle
7:15 AM — Load van in reverse delivery order (last stop loaded first)
7:20 AM — Start route with turn-by-turn navigation
Vs. without optimization:
7:00 AM — Arrive at depot, start typing addresses (45 minutes)
7:45 AM — Try to manually sort stops on a map (15 minutes)
8:00 AM — Give up and just go in roughly geographic order
Result: Backtracking, missed time windows, 2 fewer hours of actual deliveries
Getting Started with Multi-Drop Planning
If you're still planning routes manually or using Google Maps (which only supports 10 stops and doesn't optimize), you're leaving hours on the table every day.
Start with RouteMate's free tier to experience real multi-drop optimization. When you're ready for AI scanning, CSV import, and larger routes, upgrade to a paid plan. Your future self will thank you.