Operating intelligence for ecommerce

Know what changed.
Understand why.
Act with confidence.

Koryno is being built to connect commerce and marketing signals, explain performance and surface the decisions that deserve attention.

Built for ecommerce operatorsRead-only connectionsLimited early access
koryno · operations · overview · last 30 days
concept preview
Net revenue
$1.84M+12.4%
Orders
28,410+8.1%
Avg. order value
$64.70+3.9%
Cohort retention
41.2%−2.3%
Why did cohort retention decline this month?
Koryno · analysis

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.

−2.3% retention−11% cohort repeatJun 9 flow paused
Re-enable the June 9 Klaviyo win-back flowMarketing · auto-resolved
Shift paid social budget toward retargeting the June cohortMarketing · suggested
+$38K
Set a repeat-rate floor alert for first-time cohortsMonitoring · suggested

Designed around the tools already running your store

One operating view

Your data already knows the story. Koryno connects it.

Instead of moving between dashboards, exports and disconnected AI chats, Koryno brings revenue, profit, acquisition, customer behaviour and forecasts into one shared operating context.

Commerce + ordersLifecycle + campaignsAcquisition + spendCustomers + retentionInbox + customer signals
Koryno operating context

One explanation, grounded in the same business.

Changes are connected across systems before Koryno recommends what deserves attention.

Signal confidence
High
Estimated exposure
€18.4K
Next review
Tomorrow
Product journey

From signal to decision, without losing the evidence.

Koryno is designed as a continuous operating loop: observe performance, detect material changes, explain the drivers and rank the next action.

01 · Overview

Start with the state of the business.

See the few metrics and changes that define today, without opening five reporting tools.

02 · Detection

Surface the issue while it still matters.

Koryno distinguishes normal variation from a change that may require intervention.

03 · Analysis

Understand why the change happened.

Evidence from connected systems is combined into one defensible explanation.

04 · Action

Turn understanding into a ranked next step.

Actions are ordered by expected impact, confidence, urgency and reversibility.

koryno · operations · overview
concept preview
Operations

Overview

Last 30 days
Revenue$1.84M+12.4%
Orders28,410+8.1%
AOV$64.70+3.9%
Retention41.2%−2.3%
What requires attention today?
Koryno · daily brief

Retention is the only material negative change. The decline is concentrated in one acquisition cohort, not across the full customer base.

Restore win-back flowresolved
Review paid acquisition qualityhigh impact
Ask Koryno

Ask a useful question. Get an operational answer.

Every answer shows the conclusion, supporting evidence, confidence and the next decision—without making your team decipher another dashboard.

koryno · business brain
analysis
Why did revenue slow this week?
Koryno · answer

Traffic held. Mobile checkout completion did not.

Revenue slowed 6.8% after mobile checkout completion fell following a theme update. Acquisition volume and product demand remained within their normal ranges.

Revenue−6.8%Week over week
Mobile checkout−14.2%Primary driver
Confidence91%Four sources agree
koryno · business brain
analysis
Which campaign is hurting margin?
Koryno · answer

paid social prospecting is adding revenue, but destroying incremental contribution.

The campaign generated €42K in sales while discounts, CAC and a lower-margin product mix reduced incremental contribution to 3.1%.

Revenue€42KLooks positive alone
Contribution3.1%Below operating floor
Recommended shift15%To retargeting
koryno · forecast
forecast
What is likely to happen next month?
Koryno · forecast

Revenue is likely to grow, but profit may stay flat without a spend change.

Demand, repeat orders and current inventory support growth. Paid acquisition efficiency is the principal downside risk to the profit forecast.

Revenue forecast+9–13%Base case range
Profit forecast−1–4%Without intervention
Forecast confidence82%Inventory included
koryno · customers
analysis
Are refunds becoming a problem?
Koryno · answer

Not store-wide. One SKU and one shipping region explain most of the increase.

Refund rate rose 0.7 points, but 64% of the change comes from a single product in Germany following a fulfilment delay.

Refund rate+0.7ppMaterial change
Concentration64%One SKU + region
Exposure€8.4KNext 30 days
Built for decisions

Less reporting theatre. More operational clarity.

Koryno is designed around the way an operator actually works: understand the change, evaluate the impact and decide what to do next.

01 · Context

One business model, not isolated dashboards.

Revenue, margin, customers and acquisition are evaluated together instead of as disconnected metrics.

  • Cross-source evidence
  • Shared definitions
  • Business-specific context
02 · Explanation

Answers that show their work.

Koryno makes the evidence, confidence and analytical limitations visible before recommending action.

  • Evidence trail
  • Confidence scoring
  • Clear limitations
03 · Action

Priorities ranked by business impact.

The product focuses attention on decisions with the highest expected value, not the largest number of alerts.

  • Impact estimates
  • Urgency and risk
  • Operator approval
How it works

A quiet operating layer around the tools you already use.

Koryno does not replace your commerce or marketing stack. It creates the analytical context that lets those systems work together.

01

Connect

Bring together store, payment, advertising, lifecycle and support data through controlled read-only integrations.

02

Interpret

Koryno builds a shared view of what changed, identifies the drivers and estimates what may happen next.

03

Prioritise

Recommendations are ranked by expected impact, confidence, urgency and how safely the decision can be reversed.

Security by design

Your data explains the business. It never takes control of it.

Koryno is being designed as a read-only intelligence layer with isolated organisations, encrypted credentials and transparent AI analysis.

  • Read-only integrationsKoryno analyses connected systems without independently changing campaigns, prices or store settings.
  • Encrypted credentialsAccess tokens and integration secrets are protected and separated from product-facing data.
  • Organisation isolationEach business operates within its own data boundary and analytical context.
Integration controlProtected
Connected sourceShopify · Primary store
read only
Orders and revenue
Allowed
Customers and products
Allowed
Store settings
Blocked
Write operations
Blocked
Credential storage
Encrypted

Recommendations remain recommendations. An authorised operator approves and executes any change in the original system.

Private beta waitlist

Help shape Koryno around a real operating business.

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.

Limited cohortDirect founder accessNo payment required to join
Request an invitation

Tell us about your store.

Your details will only be used for private beta evaluation and the updates you requested.

FAQ

The practical details.

Koryno is still in active development. The answers below describe the intended private beta rather than a finished public product.

What is Koryno?+

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.

Is the product already available?+

Not publicly. Koryno is preparing a limited private beta and the waitlist will be used to select the first testing cohort.

Will Koryno make changes to my store automatically?+

The initial product is designed around read-only access. Koryno can recommend an action, but the operator remains responsible for approving and executing it.

Which businesses are the best fit?+

Ecommerce teams with enough real operating data to benefit from cross-source analysis, especially stores using Shopify and a modern marketing stack.

Does joining the waitlist require payment?+

No. Joining the waitlist only registers interest. Any future beta terms will be shared clearly before access is granted.