AI Product Design for Footwear, Home Goods, and More: One Workflow, Many Categories
One of the most exciting parts of AI product design is that the same workflow can power many categories: footwear, apparel, furniture, toys, home goods, sports gear, and more.
The Core Steps Stay Similar
Describe the Use Case
Running sneakers vs. lounge slippers. Kids' room lamp vs. hotel lighting. The prompts change, but the structure is the same.
Generate and Refine Visuals
You explore shapes, materials, and colorways that fit each category's constraints—flexibility for footwear, safety for home goods, etc.
Build Multi-View Sets
Front, side, back, top, bottom views plus close-ups for hardware, textures, and functional parts.
Structure Tech Packs
Regardless of category, factories need components, materials, and measurements clearly laid out.
Because AI handles a lot of the heavy lifting, your team can focus on category-specific insight: ergonomics for footwear, durability for home goods, compliance for kids' products.
Genpire is intentionally multi-category. Whether you're designing sneakers, candles, chairs, or toys, the same AI-native flow takes you from idea to tech pack.