Not another report. A model of your store.
A report tells you what happened, then hands the thinking back to you. Sizo ingests everything your shop does — every launch, sale, stockout and return — and builds a working model of how your store sells. Then it makes the calls you've been making by feel — starting with the most expensive one: the size order.
Describes the past. Hands the thinking back to you.
Does the thinking. Hands you the decision.
Sizo does in seconds what used to take me and my employee a long time and pull us away from other work, saving us money on every single order.
Every restock is a bet. Most brands are losing it.
of monthly profit, forfeited by fashion brands to poor size distribution.
in unsold fashion inventory in 2023. Up to 5 billion items produced beyond demand.
of customers don't return after a second stockout. 76% say it damages brand perception.
- — Default to 1:2:2:1 every time
- — Stockouts skew the data, invisibly
- — Trends move, ratios don't
- — Hours rebuilding the PO sheet by hand
- → Your actual ratio, from real sales
- → Stockout periods filtered out automatically
- → 30/60/90-day trend shifts surfaced
- → PDF or CSV export, one click to your factory
Order the right sizes, every time.
After a product launches, Sizo tracks every sale and return by size. It separates real demand from stockout periods, calculates your actual curve, and tells you exactly what to order next.
Based on data, not instinct. With a confidence score on every recommendation, so you know when to trust it.
Don't guess the opening order.
For products that have never sold, Sizo finds the closest neighbours in your catalog — same cut, category, customer — and synthesizes a recommended opening ratio from their real demand curves.
Data-backed instead of a coin flip. Your first PO arrives with a real starting point.
Not just which sizes — how many, total.
The right ratio is half the question. The other half is volume. Order too few and you stock out in week three; too many and you carry dead inventory through next season.
Sizo combines your sales velocity, supplier lead time, and historical sell-through to recommend a total quantity — with three scenarios so the buy reflects how you want to play it.
A model trained on your shop.
Most tools apply a benchmark curve. Sizo builds a model of your store specifically — your customers, your fit, your seasonality, your returns. Two brands selling the same dress get different answers, because they have different customers. Here's what that looks like in practice.
We remember everything about your shop.
Every product, store, goal and preference lives in one brain Sizo keeps for your store — and it writes notes to itself as it learns. Each decision starts from everything it already knows, not a blank slate.
We don't count what you couldn't sell.
When a size is out of stock, customers can't buy it — but most tools still treat that as "low demand." Sizo finds those gaps in your inventory history and removes them, so your ratio reflects what people actually wanted.
We tell you when we're not sure.
A new product with 30 sales doesn't get the same recommendation as a hero SKU with 3,000. Sizo shows confidence on every number — so you know when to trust it, and when to wait for more data.
We notice when your customers change.
Maybe your audience is shifting toward larger sizes. Maybe a new fit is pulling in a different body type. Sizo compares your last 30/60/90 days to your full history and surfaces the shift — before it shows up as aged stock.
Size is the first answer. Not the last.
Size ships first because it's the most expensive guess a brand makes — and the easiest to prove. You see the money within a season. But the same model can answer every inventory question you're deciding by feel today.
A minute to connect. A whole season of intelligence.
Connect your store
A 1-click, read-only connection — no dev work, no exports, done in under a minute. Shopify today; other platforms and systems on request.
Sizo reads your data
Order history by size, stockout filtering, demand curves — calculated automatically.
Brief your supplier
Review the recommended ratio, export PDF or CSV, send straight to your factory.
Things founders ask us.
What data does Sizo read?
How long until I see a recommendation?
Why invite-only?
Which platforms do you support?
What if a product is brand new — no sales history?
Stop guessing. Start selling through.
Tell us about your shop. We'll add you to the waitlist.
Or write to us directly: info@sizo-ai.com