CSV Import: Bulk-Upload Routes Without Manual Entry
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 dispatcher'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 afterward:
- 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 city and zip, 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 optimization, 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 optimization 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.