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Modeled scenarioApparel & Fashion

A 4,200-SKU apparel brand recovers $61K in 90 days

Seasonal language and messy variant naming sent one in seven searches to a dead end. Cortex closed the gap in a week.

Catalog
4,200 SKUs
Platform
Shopify (headless)
Starting point
14% zero-result search rate
$61,400

modeled revenue recovered in the first 90 days

MetricBeforeAfter
Zero-result search rate14%5%
Search-to-purchase conversion2.4%2.9%
Average order value$78$83
Time to first measurable winn/a7 days
The challenge

Shoppers searched the way they talk, with terms like 'going-out top', 'cargos', and last season's color names, while the catalog used formal product titles. Nearly one in seven searches returned nothing, and those shoppers left without a trace in any merchandising report.

What Cortex did

Search

Cortex continuously learned the cleaner intent behind verbose and slang queries and connected those missed searches to real products. Empty result pages turned into shoppable grids.

Rank

It promoted styles that were converting that week and demoted sold-through and stale SKUs, so trending products surfaced before manual merchandising could react.

Enrich

Thin variant descriptions were rewritten with fabric, fit, and occasion attributes, both improving on-site relevance and making the catalog legible to AI shopping assistants.

The outcome

Within a quarter, the modeled zero-result rate fell by nearly two thirds and recovered revenue tied to those fixes reached an estimated $61,400, all under approve-every-change autonomy for the first month before the team moved high-confidence layers to auto-approve.

"The searches that returned nothing were customers we never knew we lost. Seeing them turn into sales in the first week changed how we think about our store."

Illustrative persona: Head of Ecommerce, mid-market apparel brand

Modeled scenario. The figures above are illustrative projections from Regor's recovery model and published discovery benchmarks, not results from a named customer. Search shoppers convert roughly 2 to 3 times higher than browsers (Forrester), and in our analysis of nearly 178,000 shopper sessions, 73.5% of purchasers searched before buying. Actual results vary by catalog, traffic, and configuration.

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