ARTICLE
3/14/2026 5 min read
Fabric Selection: A Data-Driven Approach
How material science and AI intersect to recommend the perfect fabric for your design.
K
Kleiders Editorial
Author
Choosing the right fabric is the single most important decision in garment construction.
## Beyond Aesthetics
Traditional fabric selection is based on look and feel. But modern textile engineering gives us data points that matter:
- **Drape coefficient** — How the fabric falls
- **Tensile strength** — Durability under stress
- **Moisture wicking** — Comfort metrics
- **Shrinkage rate** — Post-wash behavior
## AI-Powered Recommendations
Kleiders' material matching algorithm considers your design's silhouette, intended use case, and local climate to suggest optimal fabrics from our atelier partners' inventories.
## The Inventory Connection
When an atelier logs materials in their inventory, each roll is tagged with detailed composition data. This feeds directly into the matching algorithm, ensuring recommendations are based on actually available stock.
## Beyond Aesthetics
Traditional fabric selection is based on look and feel. But modern textile engineering gives us data points that matter:
- **Drape coefficient** — How the fabric falls
- **Tensile strength** — Durability under stress
- **Moisture wicking** — Comfort metrics
- **Shrinkage rate** — Post-wash behavior
## AI-Powered Recommendations
Kleiders' material matching algorithm considers your design's silhouette, intended use case, and local climate to suggest optimal fabrics from our atelier partners' inventories.
## The Inventory Connection
When an atelier logs materials in their inventory, each roll is tagged with detailed composition data. This feeds directly into the matching algorithm, ensuring recommendations are based on actually available stock.
Never Miss an Update
Subscribe to get notified about new masterclasses and editorial deep dives.