Margly is an AI advisor for e-shops. It watches a connected store, reads the numbers for the user, and turns them into daily guidance on what to do next to earn more.
The service emphasizes operational recommendations rather than just reporting. It says it analyzes data continuously, produces detailed charts and reports in the app, and identifies opportunities such as restocking products, boosting sales of underperforming items, and creating product bundles. Its AI visibility feature checks how often ChatGPT, Perplexity, and Google AI mention a store, its products, or competitors in answers to shoppers, and it reports what to improve on the site so the store is recommended more often. Margly also includes a leak calculator that estimates where money is being lost, including selling below cost, ads that do not bring orders, overpriced shipping, and customers who do not return.
Margly is delivered through its web app at app.margly.io, with sign-in and a free trial offered on the marketing site. The setup flow says a store can be connected in about 5 minutes, and the page states that the add-on installs in one click for supported platforms. Named integrations include Shoptet, Upgates, and WooCommerce, and the site also says there are 10 integrations, with more coming. The platform describes itself as using no developer and no exports, and it says first reports are available within minutes after connecting a store.
Pricing text on the page says 14 days free, no credit card, and cancel anytime. The page also references a Partner program, Reviews, Pricing, Help, and Blog. Based on the available description, Margly is a business tool for e-shop operators who want daily analysis and concrete actions drawn from their store data.
Margly is an Other analytics project. It focuses on helping e-shop owners understand and act on their business data to increase profitability. Margly is a B2B product aimed at e-commerce store owners. Margly follows a freemium model. It ships for the web.
Margly first shipped in 2025. Among its 7 catalogued features are E-shop analytics, profit optimization, and daily recommendations.
Summary written by a language model from the project’s public pages.
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