Workflow

From supplier document to exportable product data in four clear steps.

Arovon is intentionally simple: collect files, extract structured data, review uncertain rows, then export clean CSVs.

Pipeline

No more copy-paste marathons

Pilot-ready
1InputCatalogs + datasheets
2AI passStructured rows
3Team passApprove/flag
4OutputCSV export

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

1. Create a project

Use projects to separate suppliers, categories, seasons, or customer onboarding batches.

Name the batch clearly
Choose the product category
Keep files and rows together

Step 2

02

2. Upload source files

Drop in PDFs, catalog files, datasheets, and spreadsheets that normally create manual work.

Multi-file projects
Source document status
Retry support for failed processing

Step 3

03

3. Review and export

Approve confident rows, edit what needs cleanup, then download Shopify or generic CSV output.

Confidence indicators
Bulk actions
Export-ready headers

Questions buyers ask

Practical answers before you upload a supplier file.

Can Arovon process supplier PDFs and spreadsheets?

Yes. Arovon is designed for supplier PDFs, catalogs, datasheets, and spreadsheets that need to become reviewed product rows.

Does Arovon publish AI output automatically?

No. The workflow is review-first: product teams approve, edit, or flag rows before export.

Can Arovon export Shopify-ready CSV files?

Yes. Approved rows can be exported with Shopify-ready fields such as handle, title, body HTML, vendor, type, tags, SKU, and SEO fields.

What is the best first pilot?

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

Turn this page into a product trial, not just a read.

Arovon gives industrial teams a repeatable workflow for turning supplier documents into useful data, without pretending every row should go live without review.

PDF
AI
OK
1

Simple enough for daily use

2

Structured enough for scale

UsageLimit
01
02
03
3

Transparent enough for product teams