Pattern-accurate fit, simulated on every shopper's body.

exactli builds each garment from your production patterns and drapes it, in the browser, on a body constructed from the shopper's own measurements. Size becomes a decision rather than a guess.

Built for Egyptian brands · works on any Shopify store


The problem

Size uncertainty costs more before the sale than after it.

Most abandoned apparel carts are not a verdict on the product. They are a shopper who could not resolve a size and declined to risk it — a loss that never reaches your reporting, because it never became an order.

In Egypt the same uncertainty is charged twice. Cash on delivery dominates, so a garment that does not fit is refused at the door: outbound freight, return freight, and no sale.

Resolve the uncertainty and existing traffic converts. The gain is in sales, not only in returns.

~60% of online apparel shoppers have abandoned a purchase over size uncertainty. Apparel e-commerce surveys, 2026
~53% of apparel returns are attributed to size and fit, not to quality or presentation. Apparel returns analysis, 2026
25–35% of Egyptian cash-on-delivery orders are returned, above regional benchmarks. Regional COD benchmarks, 2026
<10% of shoppers pay by card, so rejection occurs at delivery rather than post-purchase. Egypt payments data, 2026

The limits of size charts

A size chart reports measurements. It cannot demonstrate fit.

Every store publishes one. It is also the point at which the shopper is left to resolve fit alone.

It depends on self-measurement Most shoppers have never measured a chest or waist and estimate instead. The chart is only as accurate as the figure it is given.
It reports dimensions, not fit A 96 cm chest states a measurement. It conveys nothing about ease, drape, or where a garment will sit on the wearer.
It cannot account for cut or cloth Two garments of the same nominal size fit differently. Pattern and fabric determine that, and a table can express neither.
It is silent between sizes The shopper who falls between two rows is the one most likely to abandon, and precisely the case a chart cannot resolve.

exactli replaces the table with the garment. The production pattern is simulated at the shopper's own dimensions, so fit is observed rather than inferred.


Shopper experience

One profile. Every garment. Nothing to install.

The experience runs in-page, on desktop and mobile. A shopper builds their profile once and it carries to every store running exactli.

1

Build the avatar

The shopper starts from a 3D body close to their own and refines it: height, proportion, and measured dimensions. Each value is solved against the mesh, not matched to a chart.

2

Review the garment

The garment is simulated on that body in the browser. They rotate it, switch between sizes, and see where it pulls and where it falls.


How it differs

Simulation, not composition.

Most virtual try-on composites a garment onto a photograph. The result is persuasive and uninformative: nothing was fitted, so nothing can be concluded about fit.

  • Production patterns — the graded files your factory cuts from, one per size.
  • Per-size simulation — every size solved independently. A large is a large, not a scaled medium.
  • Material behaviour — the fabric's own drape, cling and gather, carried from its measured properties.

Confidentiality

Your patterns remain yours.

A graded pattern set is among the most valuable intellectual property a brand holds. It is handled accordingly.

  • Encrypted at rest — accessible only to the team building your garment.
  • Single purpose — used to construct and simulate the 3D garment, and for nothing else.
  • Deleted on completion — the finished 3D asset is retained; the pattern is not.
  • Never distributed — not shared, not sold, not used as training data, under any circumstance.

For stores

A managed build, from pattern to product page.

We work from the patterns your garments are already cut from and return a finished 3D piece. You review each one on an avatar and approve it before it reaches your storefront. Nothing about how you sell changes.

Tell us about your range and we will scope it from there.

Questions

Frequently asked questions

What do you need from us?

The graded patterns your garments are cut from, and the fabric specification. Whatever format your cutting room already works in is acceptable.

We already publish a size chart. Is that not sufficient?

A chart identifies which row a shopper belongs to. It cannot demonstrate the garment on their body, and it cannot serve the shoppers who fall between two sizes — the segment most likely to abandon. exactli resolves that case.

Who has access to our patterns?

Only the team building your garment. Files are encrypted at rest, used for that single build, and deleted once the 3D piece is complete. They are never shared, sold, or used as training data.

Do our customers have to download anything?

No. Everything runs in the browser on your product page, on mobile and desktop. A shopper builds a profile once and it carries to every store running exactli.

What happens to a customer's measurements?

They remain with the shopper. Measurements are held against their own account so the avatar works across stores, and are never disclosed to the stores they visit. A store running exactli sees that a garment was tried on — not who tried it, or their dimensions.

Does it work with our theme?

Yes. The try-on control is a Shopify app block. You place it on the product page in the theme editor, wherever you choose, and it inherits your theme's own type and colour.

How much work is this for us?

Minimal. You supply what the garment is made from, we handle the build, and nothing goes live until you have reviewed and approved it.


Show the fit before the purchase, not after the return.