68% of supplier spreadsheets come back incomplete. Most teams accept this as normal. It isn't — it's a structural failure that blocks every product downstream.
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Product pages stay empty while categories wait for supplier data that's 3 weeks late
Manually chasing suppliers, cleaning spreadsheets, and re-importing for every new range
Range launches delayed because product data wasn't ready on go-live day
Maintaining a patchwork of spreadsheet templates, email chains, and manual imports
The process is always the same. You send a template. The supplier opens it, doesn't understand half the columns, guesses at the values, leaves the hard ones blank, and sends it back. Your team spends two days cleaning it. Half the fields still aren't right. You email the supplier again. The range launch slips two weeks.
Everyone accepts this as normal.
The hidden cost isn't the time your team spends cleaning data — it's the downstream effect. Products that can't go live because three required attributes are missing. Category launches delayed because one supplier hasn't finished their template.
Every day of delay is a day your competitor's product is live and yours isn't.
And the conventional fix — a vendor-facing portal — usually makes it worse. Suppliers need to create accounts, learn a new system, and still fill in the same fields your template asked for. Completion rates drop. You've added friction and solved nothing. The problem isn't the format. It's that the process puts the burden of data quality entirely on the people least equipped to deliver it.
The problem isn't your suppliers. It's the process you're asking them to follow. We change the process.
SKU Launch's supplier portal gives each supplier a single link — no account, no download. AI pre-fills everything it can from the supplier's own product URLs and PDFs. Suppliers review and confirm, not type from scratch. Completion rates go from ~40% to 80%+.
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When a supplier submits a product URL or spec sheet PDF, AI extracts every attribute it can find and pre-fills the portal form automatically. The supplier's job becomes reviewing and confirming — not data entry. The difference in completion rate is immediate.
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Define required fields, accepted values, and format rules. The portal enforces them before submission — suppliers can't send incomplete records. Your team never receives bad data. It doesn't reach your PIM, your team, or your product pages.
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Supplier onboarding touches three parts of the platform — all working together automatically.
Branded, guided portal with AI pre-fill. Suppliers complete it. You receive structured data.
Explore →AI reads supplier URLs and spec sheets — pre-filling attributes before the supplier sees the form.
Explore →Every supplier's field names and values normalised to your schema automatically.
Explore →Completeness scoring and validation gates — incomplete records never leave the portal.
Explore →Once supplier data is in, these are the challenges most teams hit next.
The data exists. It's just locked in unstructured text. AI extracts it — from titles, descriptions, PDFs, and product URLs.
Read more →Before you onboard suppliers, you need to know what to collect. AI Schema Builder builds your attribute schema in minutes, not months.
Read more →The bottleneck isn't your team or your PIM — it's every manual step between supplier data arriving and a publish-ready product record being created.
Read more →Book a 30-minute demo. We'll show you the portal set up for your supplier base — and run a live AI extraction on one of your supplier's spec sheets.
Product data enrichment that actually gets done — so your product pages convert, your search works, and your team stops living in spreadsheets.
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