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Skintique.

AI content engine that cut brand onboarding from weeks to days

Skintique branding over a skincare serum dropper

+ Project overview

Project overview

An AI-powered product content automation engine for a UK skincare e-commerce business - ingesting raw product data, researching ingredients, generating SEO-optimised listings with brand voice, and publishing directly to Shopify. Reduced full brand onboarding from 4–6 weeks to 2–3 days.

The problem

  1. New brand onboarding (40+ SKUs) taking 4–6 weeks of manual content writing
  2. Team forced to drop core roles to focus on data entry and product listings
  3. Hesitant to take on new brands due to the operational burden
  4. Inconsistent quality across product descriptions and SEO copy

Our solution

We built an AI-powered content engine that ingests raw product data, researches ingredients and benefits, generates SEO-optimised listings with brand voice, runs through a structured approval workflow, and publishes directly to Shopify with rich product metadata. What used to take weeks now takes days.

Skintique solution diagram
Solution diagram · SkintiqueView full diagram

What we delivered

  • Multi-format data ingestion (XLSX, PDF, CSV)
  • AI research agent for ingredient analysis and content generation
  • Brand voice enforcement across all generated content
  • Human-in-the-loop approval workflow with AI regeneration
  • Direct Shopify publishing with rich metafields (skin types, allergens, directions)
  • n8n workflow orchestration for the full pipeline

ROI & impact

Return on investment
13.3x
Full brand onboarding - was 4–6 weeks
2–3 days
Per SKU - down from 15–30 hours
5 hrs
SKUs per brand, fully automated
40+
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