Full disclosure: this is my own app, so read this as a founder sharing, not a neutral recommendation.
For 5 years I optimized pricing for major brands at a consultancy: the kind of demand modelling large companies pay serious money for. Most Shopify stores never get near that. They price on cost-plus markup or by matching competitors, both of which ignore what their own customers are actually willing to pay. So I built Sell Smart: Price Optimization to bring that same approach to any Shopify store.
It reads your Shopify order history, estimates how each product’s sales respond to price, and recommends the price that maximizes revenue or profit, whatever you choose. You see the demand, revenue, and profit curves and the projected impact per product. You set limits on how far prices can move, and push approved changes to Shopify in bulk. No rules to write, no A/B tests on live customers, no competitor copying. It reads only orders and catalog data, never customer info.
This is not AI pricing. The recommendations come from statistical demand modelling, the kind large retailers have used for years, and you can see the curve behind every one. No black box.
Free plan available. But before you install anything, check out the live demo on a sample catalog, no signup:
App Store: Sell Smart: Price Optimization - Increase margins and revenue with smarter pricing | Shopify App Store
Site: https://sell-smart.app
What I’d genuinely value feedback on from merchants who choose to install:
- Do the recommendations feel trustworthy, or would you want to see more information before changing a price?
- How do you set prices today? Markup, competitor-matching, or gut feel?
- What would make you comfortable actually pushing a recommended price live?
Happy to answer anything about how the modelling works, or to walk you through it.