Capture spring rate, free length, outer diameter, wire diameter, material, finish, and load data from supplier documents.
Spring row example
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
Spring catalogs often hide critical buying data across tables, footnotes, and unit columns. Arovon turns those details into reviewable fields instead of plain text.
Step 2
02
Product experts can focus on uncertain rows, missing values, or mixed-unit tables while confident spring rows move quickly through approval.
Step 3
03
Approved rows can be exported into Shopify or generic CSV with consistent names, tags, and technical attributes for downstream systems.
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.
Use case fit
Arovon helps spring distributors convert dense supplier files into product rows that ecommerce, sales, and support teams can reuse.
Spring-rate fields
Expert review
Import-ready CSV