Procuro
Use case — Large-catalog stores
Thousands of SKUs. One system that actually keeps up.
Manual PO entry works fine at 50 SKUs. Past a few thousand, it quietly breaks down — matching gets error-prone, cost drift goes unnoticed, and nobody has time to check inventory value by hand. Procuro is built for the catalog you actually run, not the one a spreadsheet can handle.
Where manual PO entry quietly breaks down.
At a few hundred SKUs, a spreadsheet works. Someone opens an invoice, types in quantities and costs, moves on. Past a few thousand SKUs — especially across multiple suppliers and warehouse locations — that same process doesn't just get slower. It gets unreliable.
A single fat-fingered quantity buried in a 300-line invoice can throw off inventory value for weeks before anyone notices. Cost updates that should happen the moment stock arrives instead happen whenever someone gets around to the spreadsheet — if they get around to it at all. Large-catalog stores don't need a nicer spreadsheet. They need matching, cost updates, and inventory tracking that happen automatically, at the volume they actually operate at.
Matching that scales with your catalog
Every line matched by SKU or barcode — not by guessing at a product name.
Whether you're entering POs by hand, uploading a CSV, or using Procuro AI Extraction once it's live, every line item gets matched against your actual Shopify catalog by SKU or barcode — not by eyeballing a product name that's worded slightly differently on a supplier's invoice than in your store.
CSV imports handle up to 500 product rows in a single file — enough for a genuinely large restock without splitting it into batches. Anything Procuro can't confidently match gets flagged for review instead of silently guessing, so a catalog full of near-duplicate SKUs — different colorways, different pack sizes — doesn't turn into a matching nightmare.
Catching cost drift before it costs you
Nobody manually checks 4,000 SKUs for a 4% price creep.
With a catalog this size, no one is comparing today's invoice against a memory of what a product cost six months ago. Cost tracking & analytics keeps a full history per product, per supplier, filterable by time period — so you can see the actual shape of a cost trend instead of noticing it only once a margin has already quietly eroded.
Inventory value across a catalog this size
One combined number tells you nothing about where your capital is tied up.
Inventory value snapshots run automatically — on whatever schedule you set, plus always at month-end. For catalogs large enough to need real segmentation, Advanced-tier reporting lets you filter and export by location, tag, or product type, instead of staring at a single combined figure.
What this looks like in practice.
Picture a home goods retailer running 4,000 active SKUs across three suppliers and two warehouse locations. A single restock PO might span 300+ line items. Historically, that PO took a staff member the better part of a day to enter and reconcile by hand — matching products, converting a euro invoice to USD, checking whether cost needed adjusting for a dozen items whose prices had shifted since the last order.
With Procuro, the same PO gets uploaded as a CSV, matched automatically against the catalog, converted at the live exchange rate, and lands on one review screen — shrinking the manual work from a day to roughly twenty minutes of checking the handful of items flagged for review.
Built for scale
The features that matter most at this size.
Built for the catalog you actually run.
Matching, cost tracking, and inventory value that scale with thousands of SKUs — not a spreadsheet stretched past its limit.