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Learning Goal: Use AI tools to generate tech packs, BOMs, and measurement charts from 3D models or sketches.
Complete Lesson Content:
Several startups and platforms now offer AI‑powered tech pack creation. You can upload a 3D model or a sketch, and the AI extracts measurements, identifies components, and populates a BOM. Some integrate with PLM systems. Even with basic tools, you can use ChatGPT to generate a BOM from a text description, or AI vectorisation to turn a sketch into a technical flat. This lesson walks through building a semi‑automated tech pack for a style.
Step‑by‑step Explanation:
- Design a garment in 3D or as a sketch.
- Use an AI image‑to‑flat tool (or manual trace) to get clean line drawings.
- In CLO, place POM markers and export a measurement table.
- Feed a description to ChatGPT: “Generate a BOM for a women’s lined blazer with…” and refine the output.
- Compile into a tech pack template, adding human‑verified callouts.
- Review for accuracy.
Best Practices: Always verify AI‑generated data against your own knowledge; treat it as a first draft.
Common Mistakes: Relying on AI BOM without checking for specific trim codes or supplier names.
Real Industry Example: A brand uses an AI‑powered plugin that converts CLO 3D models directly into detailed tech packs, saving 50% of technical designer time.
Mini Case Study: A freelancer used ChatGPT to generate a BOM, but it included “invisible zipper” for a dress that needed an exposed zipper. She learned to always proofread AI output.
Practical Activity: Use ChatGPT to generate a BOM for a simple skirt; then manually verify and correct it.
Assignment: Create a complete tech pack for the dress from Lesson 3.1, using AI assistance for flat generation, measurement extraction, and BOM. Provide both AI draft and final version.
Lesson Summary: AI can automate tedious documentation, allowing you to focus on fit and innovation.
Key Takeaways:
- AI drafts, humans finalise.
- Measurements from 3D are fast.
- Always proofread.

