Step 1
01
Bulk catalog processing
Turn large supplier files into structured review queues instead of assigning row-by-row manual work.
Use Arovon wherever product data is trapped in supplier documents or inconsistent spreadsheets.
Use-case board
Best first test
Use one real supplier file, agree what “good enough” means, then compare approved output with your current spreadsheet process.
Step 1
01
Turn large supplier files into structured review queues instead of assigning row-by-row manual work.
Step 2
02
Extract the values needed for filters, search, product pages, and internal systems.
Step 3
03
Move approved rows into Shopify-compatible CSV with handles, SEO text, and variant defaults.
Explore the workflow
Convert large supplier catalogs into manageable review batches.
Move important technical values from PDFs into system-ready fields.
Use category-aware extraction instead of scattered generic prompts.
Standardize names, materials, categories, and units during review.
Prepare approved rows for Shopify-compatible CSV import.
Turn supplier catalogs into a repeatable product-data pipeline.
Questions buyers ask
Yes. Arovon is designed for supplier PDFs, catalogs, datasheets, and spreadsheets that need to become reviewed product rows.
No. The workflow is review-first: product teams approve, edit, or flag rows before export.
Yes. Approved rows can be exported with Shopify-ready fields such as handle, title, body HTML, vendor, type, tags, SKU, and SEO fields.
Start with one representative supplier file, define the required attributes, review the extracted rows, and compare the export against your current manual process.
Why teams care
Arovon gives industrial teams a repeatable workflow for turning supplier documents into useful data, without pretending every row should go live without review.
Supplier onboarding
Ecommerce enrichment
PIM preparation