Upload files and structure product data fast
Import spreadsheets and flat files, then let AI map columns, detect issues, and turn messy rows into clean product records.
Get structured faster
Turn raw spreadsheets into usable product records without manual cleanup.
Reduce mapping effort
AI suggests how your columns map to your schema, so onboarding takes hours not weeks.
Catch errors early
Spot missing values, duplicates, and formatting issues before data reaches enrichment or publishing.
Key capabilities
Drag and drop imports
Upload CSV, XLSX, and export files in seconds.
AI column mapping
Automatically match source columns to your attributes and schema.
Bulk edits and fixes
Correct issues across thousands of rows quickly.
Reusable import templates
Save mappings once and reuse them for future uploads.
How it works
Drop in a CSV or Excel export from suppliers, ERP, legacy PIM, or internal teams. SKULaunch ingests the file and prepares it for mapping.
AI detects what each column represents and suggests mappings into your schema. You can accept suggestions, adjust mappings, and save templates for next time.
SKULaunch flags missing values, duplicates, invalid formats, and inconsistent units. Bulk tools let you correct errors quickly across the whole file.
Once the import passes checks, products are created as structured records in SKULaunch, ready for enrichment, workflow approvals, and publishing downstream.
More about Imports & Mapping
You can import common spreadsheet formats such as CSV and XLSX. Most teams start with supplier spreadsheets, ERP exports, or legacy PIM dumps.
Yes. Source fields can be retained alongside your structured schema, so you can always trace values back to where they came from.
AI provides suggested mappings based on column names and patterns. Your team can confirm or adjust the mapping before anything is applied.
Yes. Save import templates so recurring files from suppliers or systems map consistently without starting from scratch.
Yes. You can apply different mappings and templates depending on category, product family, or target schema requirements.