92 lev
I-01
Linen Overshirt runs small
Size mismatch · est. ~18 fewer returns / mo
Insights & prevention
Stop returns
before they start.
Every return is a signal. Returner reads those signals, tells you what to fix, and pushes the fix back to your storefront. The result is fewer returns, not just smoother ones.
Return data aggregated daily into ranked findings
Top return reason
Too small 38% of volume
On-time refunds
94% SLA tracked
Revenue retained
142,800 SEK · example
Fit tips published
Live theme block
Return reasons
All products
Share of volume
Recommended action
Publish a fit tip where sizing is losing the sale.
Too small is the single largest reason at 38% of volume, and it concentrates on a handful of styles. A fit tip on the product page plus a default size-up exchange removes most of it before the return is ever filed.
Share of volume38%
Leading insightI-01 · Linen Overshirt
Est. avoidable~18 / month
A representative view of the insights brief. Figures are illustrative, not customer results.
What the data answers
Which variant runs small
Return reasons resolved down to SKU and size, so sizing guidance gets fixed at the product page, not the portal.
Which market costs most
Return rate and carrier cost per country, so you know where free returns are actually paying for themselves.
Which customers come back
Exchange customers against refund customers over time: the lifetime-value gap, on your own cohort.
What to fix next
Ranked by leverage.
The brief is ordered by how much return volume a fix actually removes, not by how recent the signal is. Illustrative findings, in the shape your own brief arrives in.
74 lev
I-02
DE returns above baseline
Country outlier · review sizing chart
61 lev
I-03 SLA risk
Refund SLA slipping
On-time refunds down to 88%
55 lev
I-04
Blue Linen Dress · high-return SKU
Most-returned product · top reason: sizing
How it works
Read the signal. Push the fix.
01
Detect
Deterministic fit signal
Reads return reasons per product to verdict runs small / large / true to size, only above a minimum sample and clear direction, each with a confidence score.
02
Narrate
Leverage-ranked brief
An AI layer narrates the deterministic signal into ranked insight cards (size, high-return product, country outlier, refund-SLA risk), each with one recommended action.
03
Publish
Push the fix to the storefront
You review and edit the copy, then publish fit tips to the product page via a Shopify theme app block, as a banner, inline note, or badge.
From signal to rule
An insight you
can't act on
is trivia.
Every insight links straight into the automation engine. Flag a variant, tighten a return window, or auto-offer an exchange, all from the same screen that found the pattern.
See automation →Rule draft Example rule
WHEN return reason is Too small
AND product is Linen Overshirt
AND product is Linen Overshirt
THEN offer size up exchange first
AND ship before return arrives
Est. ~18 fewer returns / month Activate
Turn returns into fewer returns.
See how Returner reads your return data and pushes the fix back to your storefront.