February 7, 2020 A Fitting Focus

With the right knowledge and technology, real data can be used to optimize fit and pattern for reduced returns and loyal customers.

It’s a common issue plaguing brands, retailers and consumers alike: Ill-fitting clothing increases returns, creates waste and ultimately hurts the bottom line. One of the biggest reasons for returns? Improper fit and sizing that affects appearance, comfort and movement.

The issues often begin with measurements that don’t consider build, shape, height and age. A 47” chest measurement will mean a completely different fit for a muscular athlete versus the average office worker.

Even within target group measurements, movement affects fit and fit affects movement – whether this means helping it or hindering it. In sportswear and workwear especially, restricting movement hurts performance. Design must consider the shape(s) and activities of the target group.

Hohenstein’s clothing engineers use 3D/4D scanning, 3D visualization, customer data or Hohenstein’s database (including SizeNorthAmerica and Size- GERMANY studies and special target groups such as plus sizes, seniors and children) to create basic and model patterns, correct existing patterns and optimize both size sets and finished measurement tables.

An optimized pattern affects more than just consistent manufacturing. Less material is wasted during production. Patterns and materials are developed based on intended use. Grading is based on real data for consistency and better coverage of the target group. Users can perform their job or sport effectively. Consumers keep clothing instead of sending it to the landfill. Everyone wins.