The Omnyfy Distance Rates Shipping Method allows Marketplace Owner and Vendors to set prices for shipping based on the distance between the Vendor and Customer locations, also using weight as a condition. Vendors can only delete their own prices, and Marketplace Owners can manage the default marketplace prices and Vendors prices as well. To read more about the rules and application of this Shipping Method, please go to the Rules and Application guide.
To delete existing Distance Shipping rates, follow the steps below.
Deleting existing Shipping Rates
Log in to Omnyfy Marketplace Backend. On the Admin sidebar, go to System > Data Transfer > Export
2. Choose the Entity Type "Distance Shipping Import"
3. Do not select any of the fields. By selecting the fields, the system will not export those columns. Click Continue.
4. Open the spreadsheet and check which rows you want to delete. You must have ONLY the IDs that you need to delete on this spreadsheet. Leave these rows in the spreadsheet and delete the ones that you would like to keep in the system.
IMPORTANT: Please refer to Rules and Application guide to understand about the spreadsheet columns
5. Delete the other columns of the spreadsheet. The delete function will be completed by using the id column only. Save the spreadsheet (always using CSV format). IMPORTANT: Do not change or remove the first column (id)
6. On the Admin sidebar, go to System > Data Transfer > Import
7. Choose the Entity Type "Distance Shipping Import"
8. Inform the import behavior and the file to import.
Import Behavior: Choose Delete
Stop on Error: Leave the Default Stop on Error. Do not change
Allowed Errors Count: Leave the Default 10. Do not change
Field separator: Leave the Default ,. Do not change
Multiple value separator: Leave the Default ,. Do not change
File to Import:
Select File to Import: Select the file saved on step 4 (csv format only)
Images File Directory: Leave blank
9. Click on Check Data to start the import. This will verify the data on the spreadsheet. Most common mistakes are: wrong IDs, misspelling or spaces inside the cells.
10. If Check Data was successful, click on Import.