Arovon turns supplier documents, product data, and price lists into structured review workflows for industrial teams. Start with one tool today, then add more supplier-file automation as the suite grows.
Two tools live now: Product Data Automation and Supplier Price List Automation. More modules can be added without changing the platform story.
Suite console
2
tools live
1
review layer
CSV
safe exports
Products
Each product solves a specific workflow. Together they build toward one operating layer for extraction, SKU matching, review, and export.
Turn supplier PDFs, catalogs, datasheets, and spreadsheets into reviewed product rows and Shopify-ready CSV exports.
Workflow preview
Review queueUpload supplier price lists, match lines to internal SKUs, and review cost deltas by margin impact before anything changes.
Workflow preview
Review queueWho it is for
The suite is strongest where supplier documents, catalog rows, price lists, and review decisions repeat across the business.
Turn supplier PDFs, catalogs, and price updates into reviewed rows without building a larger data team.
Keep technical product data, specs, and cost changes organized before they flow into sales channels.
Move from messy source files to clean product rows, import CSVs, and reviewed content.
Catch cost changes, pack-size issues, and unmatched supplier SKUs before margins are affected.
Choose your first workflow
Pick the starting point that matches your current bottleneck, or use a short workflow review to choose the highest-value pilot.
Choose this path when datasheets, catalogs, and spreadsheets need to become structured product rows.
Try Product Data Automation →Choose this path when you need to compare costs, match supplier SKUs, and review deltas safely.
Try Price List Automation →Bring one supplier file and use a short workflow review to pick the highest-value pilot.
Book a workflow review →Proof of process
A sample run gives you concrete output to inspect: reviewed rows, flagged exceptions, matched aliases, and export files your team can compare with the current process.
Extracted product rows
Supplier fields become structured rows with categories, attributes, and source context.
Flagged review queue
Missing material, UOM conflicts, and low-confidence matches are surfaced before export.
Matched supplier SKUs
Confirmed supplier aliases become reusable across future files and tools.
Export-ready outputs
Shopify CSVs, ERP-ready cost files, and plain-language summaries show exactly what changed.
Safe by design
Supplier files and pricing data are sensitive. Arovon keeps review, isolation, and export control visible throughout the workflow.
Cost of manual work
Manual supplier-file work costs time, margin, and attention. Start with the numbers your team already feels: slow catalog rows, risky price lists, and avoidable technical-data mistakes.
5–20 min
manual time per product row when specs are copied and cleaned by hand
9,000+ lines
typical supplier price lists that are too risky to re-read manually
1 mistake
a UOM, pack-size, or currency error can quietly damage margin
Arovon surfaces extracted data, confidence, mismatches, and source context so your team can approve the result before exports or imports.
PDFs, spreadsheets, catalogs, price lists, pack sizes, UOMs, aliases, and effective dates are first-class workflow inputs — not afterthoughts.
The suite is designed to grow around repeated supplier-file work: extraction, matching, review, exports, and operational audit trails.
Built to expand
Arovon should not feel like a single-feature landing page. It is a focused suite for supplier-data operations, with shared foundations that can support more tools over time.
01
More supplier-file workflows can plug into the same review and matching layer.
02
Confirmed SKU and supplier aliases become reusable across product data, price lists, and future tools.
03
Shared limits, audit trails, and exports keep the suite predictable as new modules are added.
Next step
Bring one supplier file, one price list, or one messy catalog batch. Arovon shows what can be extracted, matched, reviewed, and exported before you commit to a broader rollout.