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CRODeck

AI Revenue Recovery

Find where your store leaks revenue — then recover it.

Scans the store in about ten minutes and hands back a revenue recovery plan: every fix carries a price tag, a priority and a confidence level. Not A/B testing — diagnosis.

Install on ShopifyProduct site

Live on the Shopify App Store

CRODeck — Find where your store leaks revenue — then recover it.

The problem

The merchant knows the conversion rate is low, but not where the money is going, why, how much the leak is worth, or what to fix first. There isn't enough traffic for a serious A/B testing programme, and there isn't budget for a senior CRO consultant. Before you test, you need to know where you're losing: CRODeck does the diagnosis.

How it works

  1. 01

    Reads the store

    Products, aggregate order counts, AOV, currency and inventory through the Shopify GraphQL Admin API, on read-only scopes.

  2. 02

    Shops like a customer

    A Playwright crawl in a real mobile context (390×844, touch, DPR 2) walks home, collection, product and cart, plus a Lighthouse performance run.

  3. 03

    Scores seven dimensions

    Conversion, UX, performance, trust, mobile, product content and AI readiness are weighted into a single Revenue Health Score.

  4. 04

    Writes the plan

    The AI report ranks fixes by revenue impact, not by effort: what to fix first, what it's worth, how hard it is.

What it does

In numbers

7 → 1
scores weighted into one Revenue Health Score
~10 min
from install to a full report
12
signal categories scanned across the store
16
categories of AI-generated opportunity

The product

Dashboard: estimated annual leak, Revenue Health Score and the ranked list of fixes.
Dashboard: estimated annual leak, Revenue Health Score and the ranked list of fixes.
The seven scores with their weight and the revenue at risk behind each one.
The seven scores with their weight and the revenue at risk behind each one.
The first three fixes to make, priced and tagged observed, estimated or hypothesis.
The first three fixes to make, priced and tagged observed, estimated or hypothesis.

The engineering call

The anti-hallucination architecture is the product. Every recommendation follows a fixed chain — observed issue, evidence, business impact, estimated lift, difficulty, priority, action — and carries a tag that reads observed, estimated or hypothesis. That tag is enforced in three places: the model's system prompt, the database schema and the badge in the UI. Estimated lift is always a band, never a single number.

The currency figures don't come from the model. The revenue leak calculation is a pure, unit-tested function with documented constants; measured values stay structurally separate from estimated ones, and every assumption is written out in plain text in the report.

Privacy by design: minimal read-only scopes, GraphQL Admin API only, HMAC verified on raw bytes, and a function that strips thirteen protected customer fields before the data ever touches the database or the model. No personal data reaches the AI.

Pricing

Starter

$19/mo

Two scans a month, top 5 opportunities: enough to see where the money goes.

Most picked

Growth

$49/mo

Eight scans, top 10 opportunities, PDF export, scheduled re-scans and the revenue leak model.

Pro

$149/mo

Thirty scans, top 25 opportunities, a year of history and competitor context.

Find where your store leaks revenue — then recover it.

Install on Shopify

A Barikreativa product: design, architecture and full-stack development in house. Published on the Shopify App Store.