Start with a file
Create an import job from a CSV and keep the source visible while you work.
Bring your spreadsheets into a working inventory.
Keep the useful details from your existing files. Matte lets you map columns, check each row, and review the outcome before your team starts working from the new records.
M
MatteExample spreadsheet import mapping and row review
inventory.csv4 columns
Source columnMatte field
Product nameItem name
SKUSKU
Bin locationCustom field
Row review3 rows
01 Paper cupsReady
02 Oat milkReady
03 Missing item nameFix row
Review the rows before importing.
Move your data with a clear review step.
Map the columns
Match fields, keep useful extras as custom fields, and leave out what you do not need.
Check the rows
Review errors, warnings, and proposed creates or updates before importing.
Read the report
See what was added, updated, skipped, or failed after the job runs.
Keep the context, lose the guesswork.
Bring the details along.
Item, supplier, location, and custom fields can move into the workspace with their meaning intact.
Catch issues early.
Row checks make missing or mismatched values visible before they affect records.
See what changed.
The import report connects each outcome to its source row and the job that ran it.
Stock counts stay under inventory rules.
An import can create opening stock for new positions. It cannot overwrite an existing position's quantity or location; later changes use Matte's inventory tools.
Explore data onboardingImport results
Ready rowsAdd or update
Rows with issuesFix before import
Existing stockChange in inventory
The report shows what happened to every row.