Start with the state of the business.
See the few metrics and changes that define today, without opening five reporting tools.
Koryno is being built to connect commerce and marketing signals, explain performance and surface the decisions that deserve attention.
Retention declined −2.3%, driven mainly by first-time buyers acquired through paid social prospecting. That cohort's repeat rate is 11% below the store average, while email win-back frequency fell after a Klaviyo flow was paused.
Designed around the tools already running your store
Instead of moving between dashboards, exports and disconnected AI chats, Koryno brings revenue, profit, acquisition, customer behaviour and forecasts into one shared operating context.
Changes are connected across systems before Koryno recommends what deserves attention.
Koryno is designed as a continuous operating loop: observe performance, detect material changes, explain the drivers and rank the next action.
See the few metrics and changes that define today, without opening five reporting tools.
Koryno distinguishes normal variation from a change that may require intervention.
Evidence from connected systems is combined into one defensible explanation.
Actions are ordered by expected impact, confidence, urgency and reversibility.
Retention is the only material negative change. The decline is concentrated in one acquisition cohort, not across the full customer base.
Every answer shows the conclusion, supporting evidence, confidence and the next decision—without making your team decipher another dashboard.
Revenue slowed 6.8% after mobile checkout completion fell following a theme update. Acquisition volume and product demand remained within their normal ranges.
The campaign generated €42K in sales while discounts, CAC and a lower-margin product mix reduced incremental contribution to 3.1%.
Demand, repeat orders and current inventory support growth. Paid acquisition efficiency is the principal downside risk to the profit forecast.
Refund rate rose 0.7 points, but 64% of the change comes from a single product in Germany following a fulfilment delay.
Koryno is designed around the way an operator actually works: understand the change, evaluate the impact and decide what to do next.
Revenue, margin, customers and acquisition are evaluated together instead of as disconnected metrics.
Koryno makes the evidence, confidence and analytical limitations visible before recommending action.
The product focuses attention on decisions with the highest expected value, not the largest number of alerts.
Koryno does not replace your commerce or marketing stack. It creates the analytical context that lets those systems work together.
Bring together store, payment, advertising, lifecycle and support data through controlled read-only integrations.
Koryno builds a shared view of what changed, identifies the drivers and estimates what may happen next.
Recommendations are ranked by expected impact, confidence, urgency and how safely the decision can be reversed.
Koryno is being designed as a read-only intelligence layer with isolated organisations, encrypted credentials and transparent AI analysis.

Recommendations remain recommendations. An authorised operator approves and executes any change in the original system.
We are selecting a small group of ecommerce teams for the first product cohort. Early users will test Koryno with real store data and help define the operating workflows that matter most.
Koryno is still in active development. The answers below describe the intended private beta rather than a finished public product.
Koryno is an AI operating intelligence platform for ecommerce. It connects business data, explains material performance changes, forecasts likely outcomes and ranks the next decisions.
Not publicly. Koryno is preparing a limited private beta and the waitlist will be used to select the first testing cohort.
The initial product is designed around read-only access. Koryno can recommend an action, but the operator remains responsible for approving and executing it.
Ecommerce teams with enough real operating data to benefit from cross-source analysis, especially stores using Shopify and a modern marketing stack.
No. Joining the waitlist only registers interest. Any future beta terms will be shared clearly before access is granted.