Companies that deliver every day lose margin when routes are built on gut feel: stops out of order, unnecessary returns to the depot, and drivers covering more miles than needed. Optimizing delivery routes is not just drawing a nice path on a map — it is aligning sequence, service windows, vehicle capacity, and cost per stop.
1. Organize the data before you plot the route
List complete addresses (with ZIP/postal code and complement when available), customer opening hours, average stop time, and priority (urgent, normal). Without that, any software or spreadsheet will produce inconsistent routes. Standardize customer names and avoid duplicating the same address with different spellings.
- Validated address (geocoded)
- Delivery window, if any
- Weight/volume or stop limit per vehicle
- Access notes (condo, dock, etc.)
2. Define the sequence with business criteria
The ideal order usually balances distance, priority, and schedule. In urban operations, grouping neighborhoods reduces travel; on intercity routes, the logic changes. Circular routes (return to start) and linear ones (end far from base) have different cost impacts — choose based on your operation.
3. Use traffic and real time when possible
Static routes ignore time of day. Integrating live traffic into a routing engine improves arrival predictability and end-customer satisfaction. This is especially critical in food delivery and e-commerce with tight SLAs.
4. Measure results in numbers
Compare before and after: total miles, route time, deliveries per shift, and estimated fuel cost. Without metrics, you cannot know if the change worked. A solid process logs these variables by day and by driver.
5. When routing software is worth it
Spreadsheets work with few stops; above 15–20 addresses per day, manual calculation wastes time and increases errors. Software like iRota applies optimization algorithms across dozens of stops in seconds, respecting fleet limits and generating measurable savings.
Try optimization for free