Typing addresses in one at a time is fine for three stops, tedious at thirty, and a real bottleneck at a hundred - especially when that data already exists somewhere, in an order system or a spreadsheet a planner's been maintaining for months. CSV import exists to skip the re-typing step entirely, but it only works cleanly if the file feeding it is structured well.
What CSV import actually solves
The core problem isn't data entry speed - it's redundant data entry. If your stops already live in a spreadsheet, an order platform's export, or another system of record, bulk upload means that data gets used once instead of retyped into a second system by hand, with all the transcription errors that implies.
Structuring your CSV before you upload
A handful of habits make the difference between a clean import and an hour spent fixing failed geocodes afterwards:
- Keep address formatting consistent across every row - either one full-address column throughout, or the same separated fields throughout, never a mix
- Avoid abbreviations and shorthand a geocoder might not resolve confidently
- Include a stable reference ID per row, so a failed row is easy to find and fix without re-uploading the whole file
- If your import supports time-window columns, format them identically across every row
The most common failure: inconsistent address formatting
The single biggest cause of bad geocodes in bulk imports isn't a wrong address - it's an inconsistent one. A file that mixes full addresses with partial ones (just town and postcode, for instance) produces the worst results, because the geocoder has to guess at a precision level that changes row to row. This is the same address-cleanup principle that matters for any route optimisation, just applied at file scale instead of one address at a time.
Reviewing before you commit
Always spot-check the geocoded pins on a map before running optimisation on a freshly imported batch. A handful of misplaced pins are easy to catch and fix in a review pass, and expensive to discover after a driver's already been sent to the wrong location.
Migrating from a spreadsheet workflow
If you're moving off a manual spreadsheet process, run your existing weekly file through import once as a dry run - reviewing the results without committing to a live route - before switching your actual operation over. That single trial run tends to surface any formatting issues in your existing data before they show up on a day that actually matters. If you're still building rounds in the spreadsheet itself, how to plan delivery rounds in Excel covers what's worth keeping from that workflow.
About the author
Founder of Anteam, the East Midlands industrial AI company behind vRouted. She led development of Anteam's ant-colony-inspired route-matching platform, backed by the Department for Transport, Innovate UK and the University of Cambridge Institute for Sustainability Leadership.
Planning multi-drop rounds for a UK fleet? Read the guide to route planning software for multi-drop distributors.
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