Know which product deserves the next opportunity.

Geosort's Opportunities Engine turns collection signals into specific merchandising actions. See the product, country, current position and recommended position, inspect the evidence, then apply the opportunity or use Autopilot to automate eligible actions.

Collection preview
01

A recommendation with a visible reason.

A promising product may convert well when seen but sit too far down the collection. Another may be gaining local demand or returning to stock after selling strongly. Opportunities brings that context next to a proposed action.

Review the collection and country, compare the current and suggested position and inspect stock and shopper signals. Estimated potential helps prioritise attention; it is a forecast, not revenue already earned or a guaranteed return.

Follow discovery through to revenue
Collection preview
02

Choose how much to automate.

Review recommendations individually when a collection needs close commercial control. Apply the relevant action, skip a suggestion that does not fit the campaign and inspect Applied results afterwards. Undo provides a route back where the action remains eligible.

Autopilot can apply eligible opportunities automatically. Your existing merchandising priorities and availability rules still matter: automation should work within the strategy you intend to run.

Set priorities, then automate
Collection preview
03

Connect the next action to the bigger picture.

Product, collection, bestseller and restock opportunities answer different questions. Use country filters to focus the review, then connect the recommendation to collection analytics and the relevant product order.

Treat a position change as something to learn from. Review visibility, clicks and commercial performance after application. For a broader strategy change, use A/B Testing rather than treating a recommendation forecast as proof of impact.

Test competing strategies
Collection preview

See the merchandising behind the results.

Explore how NiiHAi, Scuffers, Feners, Yuxus and Laagam combine local demand with commercial control. Each story explains the merchant, setup and measurement context.

NiiHAi campaign

Local bestsellers.
Global growth.

£93,325 in extra revenue in one month, with local product discovery across 36 countries.

Read the story
Scuffers campaign

€408,074 extra.
In just 38 days.

Country-specific merchandising at scale: 40 countries, 120 collections and a 27.3% higher conversion rate than Shopify storewide.

Read the story
Laagam campaign

Brand control.
Measurable growth.

€41,969 in incremental revenue over 90 days, combining creative control with country sorting across 30 countries.

Read the story

Frequently Asked Questions

Smart merchandising opportunities

Make every collection work harder.

Bring sorting, merchandising rules, Product mix, analytics and experimentation into one Shopify app. Start with the workflow your store needs and expand from there.

Marc Momplet

What could this look like for your store?

Explore a merchandising strategy built around your catalogue, markets and growth goals with Marc.

Get a demo30 minutes · Google Meet