47 spreadsheets.
12 desktops.
Zero confidence.

Upload any file in any format and SKU Launch's AI maps the columns, detects the issues, and structures the records - without a brief, without a template, without manual work.

The Notes App for Power Users - Techbeta X Webflow Template
The Notes App for Power Users - Techbeta X Webflow Template
The Notes App for Power Users - Techbeta X Webflow Template
AI Column Mapper interface showing an Excel file acme_products_v7_FINAL.xlsx with 847 rows and 23 columns, listing 3 columns mapped to Product Title, Voltage, and Weight (kg) by AI, and one column needing user input.
100%
Tasks completion rate
10M+
Capital raised

98%

Column auto-map accuracy

<5

PDF, URL, image, text, web search + more

Any

Format — CSV, XLSX, TSV, JSON
How it works

Your format. Our problem.

No import template to fill out, no column naming convention to follow. Upload what you have and SKU Launch figures out the rest.

📄

AI column mapping

AI reads your column headers — however cryptic — and maps them to your schema attributes. "V (volts)", "wt_kg", "col_23" — it knows what they mean.

🔗

Issue detection

Before a single row lands in your system, AI flags missing required values, format mismatches, out-of-range numbers, and duplicate records.

🌐

Schema alignment

Maps imported values to your attribute structure — normalising units, fixing capitalisation, and resolving inconsistencies across multiple files.

ANY FORMAT

Upload what you have. We handle the rest.

Suppliers send data in every format imaginable. SKU Launch ingests all of them without requiring any upfront standardisation from your team.

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Excel (.xlsx, .xls) — any version, any structure
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CSV and TSV — any delimiter, any encoding
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JSON and XML product feeds
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Files with merged cells, hidden rows, or junk headers
List of supported file formats including Excel .xlsx, CSV/TSV, JSON feed, and XML/BMEcat.
ISSU DETECTION

Problems caught before they reach your PIM.

Bad data is always cheaper to fix at import than after it's propagated through your systems. AI flags every issue on the way in — with a clear report for your team.

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Missing required values — highlighted per row
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Format violations — wrong units, wrong type
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Duplicate SKUs — merged or flagged
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Out-of-range values — e.g. negative weights
Import validation report showing 783 rows ready to import, 41 rows missing required fields, 23 rows with format errors, and 12 duplicate SKUs detected, with buttons to import or download issue report.
also in SKULAUNCH

Explore the full platform

Source Onboarding is one feature. See what comes next.

SOURCE ONBOARDING

Supplier Portal

Collect supplier data in your format, with AI-guided validation and suggestions.

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SOURCE ONBOARDING

Imports & Spreadsheets

You're here.

SOURCE ONBOARDING

Standards & Data Feeds

Ingest ETIM and other data standards, with AI support for mapping & matching.

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ENRICHMENT & CONTENT

Enrichment Studio

Once your data is in, fill in the gaps and improve completeness with AI.

Explore →
Data structure

Schema & Attributes

Define what to collect before you start importing - AI builds the schema.

Explore →

See extraction on your own products

Book a 30-minute demo. Bring a PDF spec sheet or product URL — we'll extract it live.

© 2026 SKU Launch Ltd. All rights reserved.
Built for e-commerce teams who are done doing it by hand.