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Import from File

Import from File brings products into MicroPIM from a spreadsheet or data file you already have. Upload the file, let AI suggest how each column maps to a MicroPIM field, review the mapping, and start the import. Every run is tracked with per-row error reporting.

This is the best method when your product data lives in a supplier spreadsheet, an export from another platform, or a custom data file.

Sidebar: Import → Import (dialog) → Import from File tab URL: /admin/import

FormatExtensions
CSV.csv
Excel.xlsx, .xls
JSON.json
XML.xml

To import from a file, upload a CSV, XLSX, JSON, or XML file, review the AI-suggested field mapping, then start the import.

  1. Open the Import dialog and select the Import from File tab.
  2. Upload your file. You can choose Upload and Preview to inspect rows first, or Upload and Import to proceed.
  3. MicroPIM parses the file and uses AI field mapping to suggest a source-column → MicroPIM-field mapping, with a confidence score per field.
  4. Select the rows to import, then review and adjust the mapping. You can set multi-value separators, map custom attributes, and choose a conflict strategy.
  5. Save the mapping as a reusable Import Profile if you’ll import similar files again.
  6. Start the import. Progress and row-level errors appear in History Import.
  • AI proposes a mapping automatically and highlights lower-confidence matches for review.
  • sku and name are required — every import must map these two fields.
  • You can map custom product attributes and define separators for fields that hold multiple values.
  • Save any mapping as an Import Profile to reuse it on future files.

When an imported product matches an existing one, choose how to resolve it:

StrategyBehavior
Skip (default)Leave the existing product unchanged
UpdateOverwrite the existing product with imported values
Create newAdd the imported row as a new product
  • Maximum file size: 50 MB.
  • Rate limit: up to 10 imports per hour per user.
  • Files are validated on upload; unsupported types are rejected.
  • Upload and Preview — inspect parsed rows before importing
  • Upload and Import — parse and proceed to mapping
  • Map Fields — review and adjust the column mapping
  • Save Profile — store the current mapping for reuse
  • Start Import — begin processing the selected rows
  • Download Errors — export a CSV of rows that failed

Want to see this feature in action?

Book a 30-minute walkthrough with our product team, or send us a message with your questions.