Pareto ecommerce diagnostic
Find the missing products your best customers are already waiting to buy.
Enter a store URL to map the catalog, calibrate the assumptions, and see which price-point gaps may be costing the business growth.
Sample catalog loaded
Product Ladder Diagnosis
Run a URL scan, or use this sample ecommerce ladder to see how the model behaves.
This is a sample ecommerce ladder. Run a URL scan or use warehouse data for a decision-grade analysis.
Estimated Capturable Gap i
Based on a 20% capture target
This is not guaranteed revenue. It is the modeled missing cohort capacity multiplied by your selected capture target.
Diagnosis
Run the model to identify the clearest gap. i
Next step
Run this against your real Shopify data
The public scan maps visible products and price points. For decision-grade product gaps, use the warehouse prompt against actual orders, customers, margins, discounts, refunds, and LTV.
Pareto capacity curve vs. current coverage i
Sample catalogProduct ladder map
0 tiers reviewedRecommended moves
Prioritized by estimated impactPareto calibration audit
Finite discrete solverDecision-grade data prompt
Run the Product Ladder Diagnostic against real Shopify warehouse data.
Paste this one-shot prompt into a SQL-capable AI assistant connected to a Shopify data warehouse. It asks for the same Pareto ladder math, product gap analysis, graphs, explanations, and audit trail used in this diagnostic.
One-shot warehouse prompt
Human review
When the model shows a real gap, the next step is deciding what offer should exist.
The tool surfaces the price points. A review turns those gaps into a product, bundle, subscription, or premium offer that fits the business.