Size & fit assistant
Answers from your real garment measurements and past return reasons, not a generic chart.
- Measurement-based advice
- Return-reason learning
- Size exchange prompts
Home / Industries / Apparel & Fashion
Fashion moves fast. Your stock decisions should too.
Apparel punishes guesswork harder than almost any category. Wrong size curve, wrong colourway, wrong week — and the margin is gone to markdown. We know this one from the inside: Wearlie is our own apparel platform, running the exact stack on this page.
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/ THE LEAK
Where the money goes.
Same business, two ways of running it. The gap is what automation is worth to you.
Without AI
Where apparel margin disappears
- ✕The size curve is bought on instinct, so mediums sell out and XXLs get marked down
- ✕Returns run high because customers cannot tell how it fits from a photo
- ✕Product descriptions for 400 SKUs never quite get written
- ✕Last season's stock sits until it clears below cost
- ✕Customers ask fit questions at 11pm and buy from someone who answered
With Hagamart AI
Where the margin comes back
- ✓Size curves forecast per style from real sell-through, not last year's order
- ✓A fit assistant that answers from your actual measurements, cutting returns
- ✓Product copy and alt text generated for the whole catalogue in your voice
- ✓Slow lines flagged in week three, when a 15% nudge still clears them
- ✓Every fit and stock question answered instantly, in any time zone
/ WHAT WE BUILD
Six systems for apparel & fashion.
Size curve & demand forecasting
How many of each size, colour and style to buy, with a confidence range you can plan against.
- Per-SKU sell-through
- Seasonality and drops
- Reorder timing
Markdown & dead stock alerts
Early warning while a small discount still moves it, instead of an end-of-season fire sale.
- Ageing by style
- Markdown recommendations
- Bundle suggestions
Catalogue copy at scale
Descriptions, alt text and metadata for every SKU, on brand and search-optimised.
- Bulk generation
- Brand voice trained
- SEO metadata
Returns reduction
Most apparel returns are fit. Fixing the pre-purchase answer is cheaper than processing the return.
- Return-reason analysis
- Pre-purchase guidance
- Exchange over refund
Personalised merchandising
What a returning customer sees changes based on what they bought and kept.
- Outfit recommendations
- Restock notifications
- Replenishment timing
/ SERVICES
The services behind it.
Every build on this page is assembled from these. Start with one.
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AI Forecasting & Analytics
Demand forecasting, churn prediction and dashboards built …
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AI Operations & Inventory
AI that watches your stock and operations hourly, and warn…
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AI Chatbot Development
Chatbots that sell and support around the clock, trained o…
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AI Marketing Automation
Campaigns, content and follow-up that run themselves and c…
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Custom Software Development
Storefronts, portals and internal tools built around how y…
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AI Sales & Lead Automation
Instant lead response, automatic qualification and follow-…
/ FAQ
Questions we get from apparel & fashion.
Do you have experience in apparel specifically?
Yes — Wearlie is our own AI-powered apparel platform, and it runs the same systems described here. Everything we sell has already been tested against our own inventory and our own margin.
Will a fit assistant actually reduce returns?
It helps most where returns are driven by fit rather than quality or expectation, which in apparel is the majority. The gain comes from answering with your real garment measurements instead of a generic size chart.
Can you work with Shopify?
Yes — Shopify, WooCommerce, Wix, custom storefronts and most POS systems. In most cases we build alongside your store rather than replacing it.
How does forecasting handle a brand-new style?
By using comparable styles, category behaviour and early sell-through in the first days, with a wider confidence range that narrows quickly as real data arrives.
We are a small brand. Is this worth it?
It depends on how much cash is tied up in stock and how much time goes into catalogue admin. Below a certain size the honest answer is not yet — we will tell you if that is where you are.
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