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How to Bulk Create or Update Item Records via CSV
Learn how to bulk create or update item records using a CSV file.
This guide explains how to bulk create and update
Item
records using a CSV file.
Bulk create item records via CSV
Open the
Item
object and click
Import
.
Choose
CSV file
as the import source.
Download the Item CSV import template if needed and fill in required fields.
Upload the CSV file.
Map CSV headers to Sanka properties and keep the object set to
Item
.
Select
Create item records
and run the import.
Confirm the records are created.
Link suppliers or customers to items via CSV
To link suppliers (vendors) or customers to items in bulk, add association columns to your CSV.
Preparation
Make sure the supplier/customer company or contact records already exist.
Record their
Record ID
values.
If the same label exists for both Company and Contact, Company is prioritized when IDs overlap.
CSV structure
Include an
ID
column (or your unique item ID) to identify each item.
Add a column for supplier IDs and enter the related company/contact IDs.
Add a column for customer IDs and enter the related company/contact IDs.
Name the columns clearly so you can map them easily.
Example:
Item ID
Item name
Supplier ID
Customer ID
ITM-1001
Apple Juice
001
010
ITM-1002
Banana Cookie
002
020
Mapping tips
Set the item key (e.g.,
ID
).
Map the supplier column to the
Supplier
association and choose whether the target is Company or Contact. Use the ID or unique ID you included.
Map the customer column the same way using the
Customer
association (or your label).
Run the import and confirm the associations appear on item records.
Bulk update item records via CSV
To update existing items, include an
Item ID
(Sanka auto-numbered ID or your unique ID) and any fields you want to update.
For dropdown or status fields, use the
value
(not the label).
Open
Import
and select
CSV file
.
Upload the CSV and map headers to Sanka properties.
Select
Update item records
and set the key property to
ID
(or your unique ID).
Run the import.
Error and history
To review import status and error files, see
CSV Import/Export Errors
.
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