Turn Your Shopify Data Into
Measured Revenue Opportunities.
A hybrid revenue-intelligence architecture: deterministic basket analytics and RFM segmentation translated by AI, governed by merchant policies, and verified by causal A/B experiments.
Deterministic Data Analysis. AI-Guided Merchandising.
An embedded Shopify application combining deterministic basket analytics and customer segmentation with an AI recommendation layer, merchant-controlled guardrails, and measurable causal experimentation.
Statistical Analysis Engine
Computes Association Rule Mining (Support, Confidence, Lift) and RFM customer segmentation on the backend with mathematical precision.
Numerical Integrity Guard
Translates validated statistical matrices into plain-English merchant action recommendations, verified against numbers to eliminate hallucinations.
Embedded App Bridge & Polaris
Integrated directly into the Shopify admin using GraphQL Admin API (2024-10), Bulk Operations, and RFC 8693 OAuth token exchange.
One-Click Way Back
Records exact pre-action and post-action state snapshots for every tag and collection update, enabling instant single-click reversals.
A 6-Stage Hybrid Revenue Intelligence Pipeline
Mathematics discovers the opportunity. AI explains the opportunity. Merchant policies control the action. Experiments measure the result. Rollback protects the store.
01 — INGEST
Bulk Operations and GraphQL ingestion extract full order histories, customer purchase frequencies, product catalogs, and collection trees securely from Shopify.
02 — ANALYZE
Deterministic statistical algorithms process item baskets to compute Support, Confidence, and Lift for cross-sell affinity alongside RFM customer lifecycle tiers.
03 — SYNTHESIZE
The AI recommendation layer translates validated mathematical findings into actionable merchant briefs, strictly constrained by output integrity checks.
04 — ACT
The Action Center generates automated product bundle tags, updates cross-sell collection placements, and configures replenishment timing triggers.
05 — EXPERIMENT
Causal A/B testing tracks test versus control performance with Sample Ratio Mismatch (SRM) detection to attribute genuine incremental revenue.
06 — PROTECT
Pre-action state snapshots, merchant risk budgets, and automated circuit breakers ensure every store modification can be rolled back with one click.
Core Engineering Principles
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No Black-Box Pricing: We do not execute uncontrolled automated dynamic price changes without merchant policy.
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Deterministic Math First: All affinities and segmentation scores are computed by verified mathematical algorithms.
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Anti-Hallucination Guard: AI translations are strictly validated against calculated numbers before presentation.
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Every Action Reversible: Atomic state snapshots allow complete rollback of supported Shopify metadata changes.
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Causal Measurement: A/B tests isolate incremental revenue from natural baseline store growth.
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Shopify Standards: Native Polaris UX, App Bridge integration, and official GraphQL Admin API compliance.
Mathematical Basket Analysis & RFM Segmentation
Instead of guessing what customers want, the backend executes deterministic statistical models directly against historical Shopify order logs to uncover real buying behavior.
Itemset Frequency
Measures the absolute proportion of total store orders that contain a specific combination of products (A and B purchased together).
Conditional Probability
Measures how frequently product B is purchased given that product A is already in the cart, determining cross-sell reliability.
Affinity Strength
Measures how much more likely products A and B sell together compared to random chance. Lift greater than 1.0 proves true product affinity.
Customer Lifecycle Tiers
Segments buyers across Recency (days since last order), Frequency (total lifetime orders), and Monetary value (cumulative spend).
AI Explains the Data. It Never Invents the Numbers.
Most AI tools fail in e-commerce because generative language models hallucinate statistics. AI Revenue Manager enforces strict separation between mathematical calculation and narrative synthesis.
The Anti-Hallucination Translation Guard
The AI layer receives pre-computed statistical tables from the backend. Its sole purpose is to translate complex multi-variable matrices (high-lift pairings, dormant high-value cohorts, reorder velocity curves) into clear, actionable merchandising recommendations for the merchant.
Automated Shopify Tagging & Merchandising Operations
Turn verified insights into store actions with structured merchandising workflows governed by merchant-approved automation policies.
Automated Merchandising Triggers
When high-affinity product pairs or replenishment windows are detected, the Action Center applies structured tags, creates cross-sell collection assignments, and configures replenishment timing triggers via official Shopify GraphQL mutations.
Every Action Has a Way Back.
No merchant should ever worry about automated software corrupting store catalog data or product configurations. Every operation is snapshot-logged and bounded by safety guardrails.
Atomic Delta Rollback Engine
Before applying any change to your Shopify store, the system captures an immutable pre-action snapshot. If a campaign needs to be reversed, a single click restores previous product tags and collection memberships automatically.
Causal A/B Testing & True Incremental Revenue
Separate real merchandising performance from seasonal spikes and marketing noise using controlled experiment frameworks designed for e-commerce.
Randomized Cohorts
Splits customer traffic or product recommendation exposures into randomized test and control groups to establish an honest baseline.
Sample Ratio Mismatch
Continuously runs Chi-square statistical checks to detect traffic allocation bias, ensuring experiment validity before drawing conclusions.
True Lift Attribution
Calculates net incremental revenue generated specifically by the recommendation intervention, eliminating false correlation.
Automated Circuit Breakers
Monitors conversion and order metrics in real time; halts experiment variations immediately if adverse anomalies occur.
Built on Modern Shopify & Laravel Standards
Engineered to official Shopify App development standards for reliability, high performance, and deep ecosystem compatibility.
2024-10 Admin Target
Direct integration with Shopify GraphQL Admin API and Bulk Operations for fast, efficient data exchange without rate-limit bottlenecks.
Polaris Design System
Native embedded merchant interface using Shopify App Bridge and Polaris components for a seamless admin user experience.
OAuth Token Exchange
Secure modern token exchange protocol eliminating third-party cookie dependencies in embedded Shopify application sessions.
Signed Webhook Ingestion
Cryptographically authenticated webhook endpoints processing real-time order, product, and customer lifecycle events.
Currently in Active Development
AI Revenue Manager is undergoing active development and staging verification on development stores. It is not yet publicly listed on the Shopify App Store.
Discuss AI Revenue Manager & Early Access
We are collaborating with select Shopify merchants and DTC brands for early analytics testing, dataset validation, and custom architecture discussions. Get in touch directly to discuss your store's requirements.
Discuss AI Revenue Manager →Frequently Asked Questions
Technical and operational details about AI Revenue Manager's architecture and safety model.