shopify/return likelihood

Predict returns at checkout, fix them before dispatch.

A return probability for every order with the reason behind it, so you can surface size-fit issues and cut return cost before the parcel ships.

live template · free to try
return_likelihood.checkoutscored
0%
return probability
why this order may come back
size_variance
+0.34
category: apparel
+0.21
first_purchase
+0.12
express_shipping
-0.08
⚠ suggest size guide before dispatch
Why a generic flow isn't enoughA / the problem >>>

Returns are a margin leak you only see after the fact. By the time the parcel comes back, you've paid shipping twice and lost the sale. Most stores have no signal at the point of purchase.

From store data to actionB / how it fits >>>
// you feed it

Shopify orders, products, sizes, and historical returns.

// it decides

It scores each order's return probability and names the drivers, like size variance or category.

// you get

A flag at checkout with the reason, so you can intervene before dispatch.

How it worksC / the model >>>
01

score the order

Each order gets a return probability with its drivers at checkout.

02

surface the cause

Size-fit variance, category, and customer history are separated out.

03

intervene early

Prompt a size guide, hold for review, or adjust before the parcel ships.

What it runs onD / inputs >>>
[✓]Shopify orders & variants
[✓]Size / fit attributes
[✓]Historical returns
[✓]Customer history
What you walk away withE / outcomes >>>
per-orderreturn odds at checkout
the reasonnamed, not a black box
pre-dispatchact before you ship
Common questionsF / faq >>>
Other modelsG / more >>>

Turn it on for your store in minutes.

engine: online