01
Choose one painful supplier file
Pick a real PDF, catalog, datasheet pack, or spreadsheet that currently creates manual product-data work.
Pilot plan
Prove Arovon with one supplier file before a rollout.
A good pilot should be small, measurable, and honest. Use one representative supplier file, review the extracted rows, export a CSV, and compare the outcome with your current spreadsheet workflow.
Pilot scorecard
Extraction accuracy on required fields
Rows approved without manual rebuild
Flagged exceptions understood by reviewers
CSV import quality for Shopify/PIM/ERP
02
Define the must-have fields
Agree on the attributes that must be right: SKU, title, category, material, dimensions, ratings, descriptions, tags, and export columns.
03
Extract and review rows
Run the file through Arovon, approve confident rows, and flag uncertain fields instead of blindly publishing AI output.
04
Export and compare
Download a Shopify-ready or generic CSV and compare it with your manual spreadsheet process for speed, quality, and reuse.
Good fit / not a fit
Arovon is a good pilot fit if…
- • Supplier files create repeated product-data cleanup work.
- • Your team needs reviewed rows, not blind auto-publishing.
- • CSV export would shorten ecommerce, PIM, ERP, or enrichment handoff.
It may not be the first tool if…
- • You only manage a handful of products.
- • You need a complete enterprise PIM replacement on day one.
- • You want unsupervised publishing with no product expert review.