Case study · E-commerce

DTC E-commerce Brand · E-commerce · DTC

An AI automation agent that refines product copy and syncs inventory.

GPT-4 powered automation that rewrites product descriptions, optimises SEO metadata & syncs inventory across WooCommerce — no merchandiser overhead.

12×faster product launch on new SKUs

At a glance

Client
DTC E-commerce Brand · E-commerce · DTC
Headline metric
12× faster product launch on new SKUs
Deliverables
4 shipped to production
Stack
4+ tools across the build

The challenge, approach & outcome.

  1. Challenge

    A growing DTC brand was launching 60+ SKUs/month across multiple channels. Merchandisers were the bottleneck — writing descriptions, optimising for SEO, syncing inventory, fixing image alt-text. Quality slipped as volume grew.

  2. Approach

    Built a GPT-4-powered automation agent that ingests new SKU drafts, generates SEO-optimised descriptions in the brand voice, fills metadata, validates against a brand-safety checklist, and pushes updates to WooCommerce. Inventory sync runs on a separate scheduler with consistency checks.

  3. Outcome

    Time-to-launch on new SKUs dropped from 6 days to half a day. Organic sessions on refreshed product pages up 34%, and inventory accuracy across web, marketplace, and retail channels at 100%.

faster product launch on new SKUs
12×
organic sessions on refreshed product pages
+34%
inventory accuracy across channels
100%

Deliverables

What we shipped.

  • Product-copy agent
  • WooCommerce integration
  • Inventory sync
  • Brand-voice playbook

Stack

The tools we used.

  • GPT-4o
  • WooCommerce API
  • Node.js
  • Postgres

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