Documented results.
Real Shopify dashboards. Real metrics.
Anonymized clients, verifiable outcomes.
A US fashion group doing seven figures monthly transformed catalog operations from 40 hours/week of manual work to fully autonomous infrastructure with human oversight — with a documented up to 45% conversion rate increase.
Starting State
A multi-brand fashion group on Shopify Plus. Thousands of SKUs across weekly drops. Catalog managed by VAs — 40 hours/week. 18 apps installed. PageSpeed: 34. Broken sizes featured in top positions. Metafields incomplete across the catalog.
What We Deployed
Full Catalog Takeover: product data enrichment, variant architecture restructure, metafield completion across the entire catalog. ARRAY deployed for predictive merchandising — 47+ signals, Bayesian optimization, daily autonomous reordering. Broken sizes auto-deprioritized. Transitioned to Growth Ops retainer for continuous operations.
The Impact
Within 6 months: conversion rate +45%. PageSpeed 34 → 72. Catalog processing 40h/week → 2h/week. App stack consolidated from 18 to 11. Merchandising runs daily without human intervention. Weekly drops handled autonomously.
A leading European beauty e-commerce platform with thousands of fragrance and cosmetics SKUs. AI pipeline extracted and structured complex product data — ingredients, concentrations, fragrance notes — at a scale and accuracy manual teams consistently couldn’t match.
Starting State
Thousands of fragrance and cosmetics products. Complex data requirements: ingredients, concentrations, regulatory information, fragrance note hierarchies (top/heart/base). Manual product onboarding at 15 minutes per product. Metafields largely empty. Data inconsistencies across the catalog.
What We Deployed
Catalog Takeover with ContentScope Vision: AI pipeline trained on cosmetics taxonomy. Extracted ingredients, concentrations, and fragrance notes from product images and supplier documents. Structured variant architecture by size, concentration, and product line. Full metafield population across the catalog.
The Impact
Product onboarding from 15 minutes to under 1 minute per product. Metafield completeness from ~25% to 95%+. Data structured with domain-level accuracy — fragrance notes, ingredient lists, regulatory markers — at a quality that required zero manual correction on verified samples.
A multi-brand marketplace syncing 70+ supplier stores into a single Shopify storefront. Zero overselling. Real-time inventory. Production-grade infrastructure replacing manual spreadsheet operations.
Starting State
A marketplace operator managing 70+ supplier brands. Product sync via manual CSV uploads and spreadsheets. Overselling incidents: 5–10 per week. Inventory accuracy at ~60%. Every new brand added increased the operational burden linearly.
What We Deployed
SYNC PILOT: real-time multi-store synchronization infrastructure. Each supplier store connected as an automated feed. Inventory, pricing, and product data synced continuously. Catalog Takeover for the marketplace storefront. Growth Ops retainer for ongoing infrastructure management and new brand onboarding.
The Impact
70+ brands synced in real-time. Overselling incidents: zero. New brand onboarding from days of manual work to automated pipeline. The infrastructure scales linearly — adding brand 71 takes the same effort as brand 70.
SKUs
Processed
Specialized
AI Agents
Production
Workflows
Projects
Delivered
CR Increase
Documented
All metrics documented from live Shopify dashboards. No fabricated numbers.
See it on your store.
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Demo
1,000 of your products. 3 business days. Full refund if it's not demonstrably better.
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