Case Study

AI Product Description Workflow

Velocity & Efficiency Outcomes

Deployed a custom AI architecture that augmented the existing workforce, allowing non-writers to produce high-fidelity technical copy at scale.

  • 10x Faster Copy Production

  • 15,000+ SKUs Covered

  • $0 Additional Headcount

Project Overview

To meet the growing demands of our product catalog, I developed a custom AI-powered copywriting workflow for our web publishing team at 1000Bulbs. This tool generates high-quality, brand-aligned product descriptions in a fraction of the time it previously took. By training the AI on our tone of voice, brand standards, and product structure, then wrapping it in a simple, user-friendly interface, we streamlined production while improving consistency, accuracy, and team efficiency.

The Challenge

As the catalog expanded by thousands of SKUs, the 'Cost-Per-Description' of manual writing became unsustainable. The bottleneck threatened to delay product launches and reduced SEO visibility for new inventory.

Diagram of Enterprise AI Content Generation Workflow showing sources like raw product data, PIM/DAM feeds, and prompt library feeding into an AI processing engine, which then undergoes human review for brand safety and accuracy, resulting in SEO-optimized product pages, social campaign assets, and marketing emails through multi-channel deployment.

Enterprise AI Architecture

I created a structured AI copywriting workflow using a custom-trained model and simple form interface. Web publishers now input basic product info (e.g. name, brand, key features), and the system generates a clean, well-written product description that aligns with our tone and PDP structure.

Key Features:

  • Prompt Engineering Architecture: Designed a 'Human-in-the-Loop' system where the AI handles 80% of the drafting, leaving the creative team to focus on the final 20% of strategic polish.

  • Brand Voice Guardrails: Trained the model on high-performing historical data to ensure every output matched the 1000Bulbs voice guidelines automatically.

My Role:

Architected the technical integration and change management strategy, training the web publishing team to transition from 'Writers' to 'Editors.

Final Takeaway

This project redefined how we approach product copy, not by replacing writers, but by empowering teams to move faster with confidence. By combining AI, brand training, and smart UX, we scaled quality content production and unlocked new creative bandwidth across the department.

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