Move your existing data into Matte.

Start with a CSV file or send records through the API. Check field matches and row errors before any records are added.

Review your data before it's added.

01

Add your data

Start with a CSV file or send records through the API. Matte holds the data in an import job while you review it.

02

Match the fields

Choose where each column goes. Keep useful extras as custom fields or leave them out.

03

Check the rows

See which rows can be added or updated, and fix errors before importing.

04

Import and review

Check the report afterward to see what was added, updated, skipped, or failed.

Review your data and the results.

Keep useful columns.

If a source column has no matching Matte field, you can keep it as a custom field.

Fix problems before importing.

Matte shows errors and warnings for each row, including records it cannot match or fields it cannot use.

See what changed.

The import report shows what happened to each row, along with the source, field mapping, and person or API key that ran the job.

Existing stock counts stay protected.

You can import opening stock for new inventory positions. Once a position exists, changes to its quantity or location go through Matte's inventory tools. A record import cannot overwrite those values.

Import rules

New recordsAdd after validation
Matched recordsUpdate after validation
Existing stockChange in inventory

The report shows the result for each row.

Ready to tame your inventory?