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.
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.
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.
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.
Frequently Asked Questions
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.