CutSizeGenie is a Shopify app for fashion and apparel e-commerce brands that unlocks revenue from out-of-stock sizes using virtual inventory and size mapping. It improves size availability on Shopify product pages without theme edits.

Real-world use cases for size-led Shopify brands.

These stories focus on how fashion brands recover demand from out-of-stock sizes using controlled size mapping, safety thresholds, and operations-friendly logs. Outcomes vary by store.

Featured

Taruni × CutSizeGenie

Recovering demand when S/L is OOS but M/XL has stock — using thresholds + logs.
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Observed highlight
₹10L+ / month incremental sales influenced by recovered size availability (results vary).
Ethnicwear Alteration-friendly Shopify
Coming soon

More brand stories

We’re documenting use cases across westernwear, kidswear, uniforms, and multi-location setups.
What we’ll publish next
  • Multi-location virtual inventory (DC + retail)
  • Category-specific mapping strategy (collections)
  • How safety thresholds prevent overselling
  • Operational playbook: logs + picking workflow
Share your story
If you’re seeing clear gains from size recovery, we’ll help write your case study.

Best-fit categories

CutSizeGenie is built for fashion and apparel where alterations/cut-size workflows exist.

Ethnicwear
Anarkalis, suit sets, gowns, festive capsules.
Westernwear
Dresses, shirts, co-ords where small tailoring is acceptable.
Kidswear / Uniforms
Adjacent sizing can be feasible depending on style.
Not intended for regulated categories (food/medicine/perishables) where substitutions/alterations are not permitted.

Want to recover demand from out-of-stock sizes?

Install CutSizeGenie on Shopify, configure mappings once, and let virtual inventory improve size-led availability with safety controls.

All billing happens via Shopify. Results vary by store context.
CutSizeGenie case studies hub. Includes Taruni case study: Shopify virtual inventory and size mapping used to recover demand from out-of-stock sizes. Best for fashion/apparel where alterations or cut-size workflows exist. Uses safety thresholds, max-share caps, and operational logs to avoid overselling.