New products take 6 weeks to go live.
They should take 2 days.

The bottleneck isn't your team, your PIM, or your website. It's every manual step between a product existing and a publish-ready record being created — and there are more of them than anyone has counted.

The Notes App for Power Users - Techbeta X Webflow Template
The Notes App for Power Users - Techbeta X Webflow Template
The Notes App for Power Users - Techbeta X Webflow Template
100%
Tasks completion rate
10M+
Capital raised

This is a Problem for

📈
Commercial Director

Watching revenue from new ranges land 6 weeks after competitors who got to market first

🛒
Head of eCommerce

Managing go-live schedules that slip every quarter because product data isn't ready in time

📦
Category Manager

Launching new categories where the data pipeline slows every product to a crawl

📋
Product Data Manager

The person blamed for delays that were caused two steps upstream, before the data reached them

The Problem

Six weeks of work. Almost none of it adds value.

Ask anyone on the team where the time goes and they'll give you a different answer. Suppliers blame the template. The data team blames the suppliers. The ecommerce team blames the PIM. The PIM team blames the data. Everyone is right. Nobody owns the whole pipeline. So nobody fixes it.

"We did a time audit last year. Out of a 6-week product launch process, less than 4 hours was actual value-adding work. The rest was waiting, chasing, reformatting, and re-importing."

Head of Digital, UK trade distributor

The hidden cost isn't the time — it's the compounding revenue loss. A product that should have been live in week one generating sales, generating search index signals, generating reviews, is instead sitting in someone's import queue. Every week of delay is a week your competitor's listing has more reviews, more clicks, and more search authority than yours.

And the instinct is always to hire someone to go faster. Another data team member. Another project manager to coordinate the process. But you can't hire your way out of a structural problem. The steps themselves are the issue — not the speed at which people are completing them.

6wks

Average time from product existing to live on a distributor or retailer's website — including supplier data, enrichment, and QA

80%

Of that time is waiting, chasing, and reformatting — not work that requires human judgement or expertise

£1k+

Estimated lost revenue per SKU per week of delay for a mid-size distributor with average product margins and sell-through rates
How sku launch fixes it

Eliminate the waiting. Automate the reformatting. Keep the judgement.

The steps that take weeks aren't complex. They're just manual. SKU Launch automates everything that doesn't require a human decision.

01
SUPPLIER PORTAL + AI PREFILL

Get usable supplier data in days, not weeks

The supplier portal replaces the spreadsheet chase. AI pre-fills everything it can from the supplier's own website and spec sheets. Suppliers confirm rather than type. Validated data lands in SKU Launch within 48 hours of the invite going out.

02
PRODUCT DATA EXTRACTION

Extract attributes from content that already exists.

Most enrichment work is finding data that already exists somewhere — in a product title, a PDF spec sheet, a manufacturer URL. AI reads all of it and extracts structured attributes automatically. The data was always there. The manual work was finding and copying it.

03
CONTENT GENERATION & QUALITY GATES

Publish-ready records. Not "needs copy" records.

Content Generation writes product descriptions from enriched attributes automatically. Quality gates check every record against your publish threshold. What reaches your team for sign-off is complete, accurate, and ready — not a starting point for more work.

The transformation

What a 2-day time to live actually looks like

MANUAL ENRICHMENT PROCESS
📧
Send supplier template. Wait a week. Chase by email. Get back something half-complete in a different column order.
🧹
Assign team member to clean the import. Three days. Mostly fixing units, filling gaps, resolving column name variants.
✍️
Product descriptions sit in a queue for a copywriter. Two more weeks. 847 products. Two people. Nobody wins.
🔁
QA finds 200 records incomplete. Back to the data team. Another week. Range launch slips again. Third time this quarter.
😔
Competitor's range went live in week two. Their products are ranking. Your products are in an import queue.
WITH SKU LAUNCH
🔗
Day 0: Supplier invite sent. AI pre-fills portal from supplier's website. Supplier confirms in 20 minutes.
Day 1, overnight: Enrichment runs across all 847 products. Completeness goes from 58% to 91%. No one touched a spreadsheet.
📝
Day 1, morning: AI generates descriptions from enriched attributes. Grounded in real specs. Not generic filler.
Day 2: Team reviews and approves. Quality gate has already held back the 12 records that need attention. 835 are ready.
🚀
Day 2, afternoon: Export to PIM. Products live. Before your competitor has finished chasing their first supplier email.
The platform Behind this

Every manual step, replaced

Time to live is a pipeline problem. SKU Launch automates every stage of it.

SOURCE ONBOARDING

Supplier Portal

Validated supplier data in 48 hours. No chasing. No cleaning.

Explore →
ENRICHMENT & CONTENT

Enrichment Studio

AI fills attribute gaps overnight. Entire catalogues enriched while you sleep.

Explore →
ENRICHMENT & CONTENT

Content Generation

Descriptions generated from enriched attributes. Ready to review, not ready to start.

Explore →
DATA STRUCTURE

Product Data Quality

Publish gates hold incomplete records automatically. Sign-off is fast because the work is already done.

Explore →
You probably also have this problem

The problems that come with it

Fast time to live exposes the next set of challenges. Here's what teams tackle next.

SUPPLIER ONBOARDING

Your supplier onboarding is broken. You just can't see it yet.

The spreadsheet chase is where your 6-week timeline starts losing weeks. Fix the source first.

Read more →
ENRICHMENT AT SCALE

Your team is manually enriching 50,000 SKUs. That's 83 working weeks of work.

Once the pipeline is fast, the volume problem becomes visible. AI enrichment handles the scale.

Read more →
FILTERABLE CATALOGUES

Products are live. But customers still can't filter by the specs they care about.

Speed without structure is just getting incomplete products live faster. Structured attributes are what makes speed valuable.

Read more →
Ready for fix it?

See a 2-day product launch. Live.

Book a 30-minute demo. We'll walk through the full pipeline — supplier invite to publish-ready record — using a real product category from your industry.

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Built for e-commerce teams who are done doing it by hand.