The shopper sees the missing size, abandons the PDP, and paid traffic leaks.
Recover more apparel sales when the right size disappears.
CutSizeGenie keeps more sizes sellable on Shopify with controlled mapping rules, inventory safeguards, and clearer visibility for the team handling the order.
- Built for Shopify
- No heavy theme work
- Start with one category
Keep the PDP alive. Keep operations in control.
CutSizeGenie is not a storefront trick. It is a controlled size-recovery workflow for merchants who already understand where size substitution is operationally valid.
Keep more PDP sessions alive.
When adjacent sizes can credibly support the missing size, the shopper should not hit a dead end immediately.
Apply safeguards before scale.
Thresholds and share limits keep the model conservative, so source inventory remains protected.
Keep recovered orders legible.
The team fulfilling the order needs the full context behind every recovered size sale.
One missing size can kill the session. One valid recovery path can keep it alive.
This is the core commercial problem: paid traffic reaches the product page, but the shopper leaves the moment the desired size is unavailable.
Eligible sizes stay sellable while source stock remains above safe thresholds.
Recover demand, protect stock, and support the team after purchase.
Keep more PDP sessions alive.
When adjacent sizes can credibly support the missing size, the shopper should not hit a dead end immediately.
Apply safeguards before scale.
Thresholds and share limits keep the model conservative, so source inventory remains protected.
Keep recovered orders legible.
The team fulfilling the order needs the full context behind every recovered size sale.
Build valid size relationships, not blind substitutions.
Mappings should follow how the garment behaves in the real catalog, not a generic size adjacency theory.
- Define rules by category or collection.
- Keep source and target logic explicit.
- Launch narrow before expanding.
Use thresholds that operations can trust.
Availability should disappear before it becomes risky, not after the team is forced into cleanup.
- Minimum stock floors protect source sizes.
- Max-share controls limit exposure.
- Stop rules keep rollout disciplined.
Give teams the context they need after purchase.
Recovered demand only works as a growth system if support and operations can immediately understand the order path.
- Keep the recovery logic visible per order.
- Reduce handoff confusion downstream.
- Scale only after the workflow stays clean.
Connect size recovery to merchandising, support, and operations.
The product is strongest when the internal workflow is clear. That is why the site should speak to real teams and real handoffs, not vague automation promises.
- Storefront
- Merchandising
- Support
- Operations
- Shopify billing
Taruni recovered demand from missing sizes without turning the rollout into a full-catalog gamble.
The public story matters because it proves merchant fit. The rollout worked where category logic and downstream operations were already aligned.
Monthly influenced revenue in the Taruni rollout.
Simple pricing that follows your Shopify plan.
Keep the commercial model easy to understand: a free-to-install entry point, clear plan-based monthly pricing, and a billing explanation merchants can read in one pass.
Answer the install blockers and stop there.
Do I need theme changes to launch?
No. The setup should stay lightweight and avoid turning the install into a storefront rebuild.
How do you avoid overselling?
With conservative thresholds, share caps, and a rollout model that starts narrow before scaling wider.
Is this right for every apparel brand?
No. It fits merchants where size recovery is operationally realistic, not every catalog by default.
How should a merchant start?
With one category, one mapping model, and one downstream process the team already trusts.