Step 1
01
1. Create a project
Use projects to separate suppliers, categories, seasons, or customer onboarding batches.
Arovon is intentionally simple: collect files, extract structured data, review uncertain rows, then export clean CSVs.
Pipeline
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
Use projects to separate suppliers, categories, seasons, or customer onboarding batches.
Step 2
02
Drop in PDFs, catalog files, datasheets, and spreadsheets that normally create manual work.
Step 3
03
Approve confident rows, edit what needs cleanup, then download Shopify or generic CSV output.
Explore the workflow
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.
Simple enough for daily use
Structured enough for scale
Transparent enough for product teams