In Development · Coming Soon Customer Intelligence

Every customer tells you something. Miko AI listens.

A native Shopify customer intelligence platform. Miko AI reads every customer's purchase history, segments them with machine learning, predicts churn and lifetime value, and tells you exactly what to do next. Part of the Miko ecosystem alongside Miko Loyalty and Miko B2B.

Get early access. Closed beta opens soon.

Read More About Miko AI

By the makers of Miko Loyalty & Rewards  ·  Powered by Claude & scikit-learn  ·  Native to Shopify

You have thousands of customers and no idea who needs your attention this week.

Shopify dashboards show you totals. They don't tell you that customer 1,247 hasn't ordered in 60 days and is statistically about to churn, or that customer 4,082 just bought their third high-margin item and is about to be your most valuable account. Miko AI does.

~67%

of Shopify merchants never segment customers beyond "all customers" and "abandoned cart"

$1 → $5

typical return on every dollar spent talking to an existing customer vs. acquiring a new one

5x

more cost-effective to retain a customer than to acquire one (Harvard Business Review)

From install to first insights in under five minutes.

1

One-click install

Install from the Shopify App Store. Miko AI reads your customer, order, and product history with read-only scopes. No tag pollution, no theme edits, no schema changes.

2

ML segmentation runs automatically

Our Python ML service computes RFM scores, behavioural clusters, churn-risk scores, and predicted lifetime value for every customer. The full first run takes a few minutes; daily updates run in the background.

3

Claude explains every segment in plain English

You don't read raw ML output. Miko AI uses the Claude API to turn each segment into a sentence: "237 customers ordered 3+ times in the last 90 days but have not returned in 30. High recency drop. Recommended action: send a win-back with a 15% incentive."

4

Tags sync back to Shopify Customers

Miko writes segment tags (with a miko- prefix to avoid collisions) directly to Shopify customer profiles. Your existing email tool – Klaviyo, Shopify Email, Mailchimp – can use them as segments and triggers immediately.

5

Weekly action emails

Every Monday, you get a one-page email summary: "Here are the 5 things to do this week to grow your store." No dashboards to check, no reports to read. Just actions, ranked by predicted revenue impact.

What Miko AI does at launch.

Everything below is built and working in our development environment. Final UI and copy are being polished for beta.

Automatic RFM segmentation

Recency, Frequency, Monetary scoring across your entire customer base. Every customer slots into one of eleven research-backed segments: Champions, Loyal Customers, At Risk, About To Sleep, Lost, and more.

Churn risk prediction

A churn-probability score (0–100) per customer, updated nightly. Surfaces the customers who are about to disappear so you can intervene before it happens.

Lifetime value forecasting

Predicted 12-month spend for every customer based on their order pattern, recency, and product mix. Tells you who is statistically about to become a top spender.

Behavioural clusters

Beyond rule-based RFM: unsupervised K-Means clustering on order behaviour to surface segments you didn't know existed. "Bulk reorder accounts," "single-product loyalists," "high-margin browsers" – whatever fits your data.

Claude-powered explanations

Every segment, every insight, every recommendation comes with a plain-English explanation generated by Anthropic's Claude API. You see the action, not the math.

Auto-tagging in Shopify

Miko writes its segments back to Shopify customer tags with a miko- prefix. Your email and SMS tools pick them up automatically – no integration required.

Weekly action email

A one-page email every Monday: top 5 actions to take this week, ranked by predicted revenue impact. Sent via Resend so it lands.

Recharts dashboard

Native Shopify Polaris UI with Recharts visualisations. Segment sizes, CLV distribution, churn-risk heatmaps – embedded in the Shopify admin where you already work.

Pairs with the Miko ecosystem

Drive Miko Loyalty tier assignments from AI segments. Highlight which Miko B2B accounts need attention this quarter. One brain, three apps.

A modern stack, engineered by us.

Miko AI is built on the same engineering standards as our other apps. Native Shopify, fast, and observable.

Remix + Polaris
Native Shopify embedded app framework. Looks and feels like part of the Shopify admin.
Python ML (scikit-learn)
Dedicated FastAPI microservice for RFM, K-Means clustering, churn prediction, and CLV forecasting.
Claude (Anthropic)
Plain-English segment explanations and recommended actions generated by claude-sonnet for every insight.
PostgreSQL + BullMQ
Production database via Prisma; background ML jobs queued through Redis-backed BullMQ.
Recharts
Beautiful, responsive charts for the in-app analytics dashboard.
Resend
Reliable transactional email for the weekly AI insight report.

Common questions about Miko AI.

What is Miko AI?

Miko AI is a Shopify customer intelligence app currently in development by Tripster Developers. It reads your customer purchase history, segments customers using machine learning, predicts churn and lifetime value, and surfaces specific actions for you to take to grow revenue. Tagline: Every customer tells you something. Miko AI listens.

How is Miko AI different from Shopify Analytics?

Shopify Analytics shows you aggregate dashboards – total revenue, top products, abandoned-cart counts. Miko AI works at the individual customer level: it scores each customer for churn risk, predicts their future spend, groups similar customers, and tells you what to do about them. It is built specifically for retention and lifecycle marketing, not store reporting.

Does Miko AI replace Klaviyo or Shopify Email?

No. Miko AI is the brain, not the sender. It computes segments and writes them back to Shopify customer profiles as tags (with a miko- prefix). Your existing email tools – Klaviyo, Shopify Email, Mailchimp – pick those tags up automatically and use them as segments and triggers. Zero integration work.

When does Miko AI launch?

Miko AI is in active development. The core Remix app, Python ML service, and Claude integration are working in development today. We will open a closed beta to a small group of merchants before submitting to the Shopify App Store. Join the waitlist to be considered for early access.

What machine learning does it actually run?

Standard, well-understood techniques applied carefully: RFM (Recency, Frequency, Monetary) scoring for the eleven canonical retention segments; K-Means clustering on order behaviour for unsupervised segment discovery; logistic-regression churn prediction with feature importance; and gradient-boosted CLV forecasting. The math is well-known – the value is in running it on your data automatically and explaining the results.

Is my customer data sent to a third party?

Customer data is processed inside our infrastructure (Railway + PostgreSQL). For the plain-English segment explanations, we send anonymised aggregate descriptions (e.g. "237 customers, average 3.2 orders, last order 45 days ago") to the Claude API – never raw customer records or PII. Full details in our Privacy Policy.

Does Miko AI work with Miko Loyalty and Miko B2B?

Yes. The Miko apps are designed to compound when installed together. Miko AI segments drive Miko Loyalty tier assignments. Miko AI churn scores highlight which Miko B2B accounts need attention. Merchants who run all three get a unified retention and growth stack with no extra integration work.

Be one of the first stores on Miko AI.

Closed beta opens soon. Drop your email and we will reach out the moment we are ready. Early-access merchants get extended trial credits and locked-in launch pricing.

Want a custom AI build for your store now? Talk to us