Product details
The business trousers from Drykorn are a stylish and versatile choice for the professional wardrobe. Made from high-quality linen with a stretch component, they provide both comfort and freedom of movement. The trousers, in a light brown solid design, are ideal for formal occasions and can be effortlessly paired with various tops. They feature practical side pockets and have a regular waist height for a comfortable fit. These trousers are available in size W27/L34 and are aimed at adults, particularly women who value elegant yet comfortable workwear. The simple style and high-quality craftsmanship make these business trousers a timeless piece that should not be missing from any wardrobe.
Cut | Regular |
Exact colour description | Light brown |
Material composition | Linen, Stretch |
Trouser type | Chino/Cloth trousers |
Item number | 54661688 |
Manufacturer | Drykorn |
Category | Casual trousers |
Release date | 13.2.2025 |
Colour | Brown |
Exact colour description | Light brown |
Upper | Linen |
Material composition | Linen, Stretch |
Target group | Women |
Trouser type | Chino/Cloth trousers |
Clothing size | W27/L34 |
Cut | Regular |
flange height | Regular |
Pockets | Hand pockets |
Style | Casual |
Pattern | Unicoloured |
Special sizes | Normal size |
CO₂-Emission | |
Climate contribution |
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Reviews & Ratings
Warranty score
How often does a product of this brand in the «Casual trousers» category have a defect within the first 24 months?
Source: Digitec Galaxus- DrykornNot enough data
- 1.Alberto0 %
- 1.Blend0 %
- 1.Dockers0 %
- 1.La Redoute Collections0 %
Warranty case duration
How many working days on average does it take to process a warranty claim from when it arrives at the service centre until it’s back with the customer?
Source: Digitec Galaxus- DrykornNot enough data
- 1.Jack & Jones0 days
- AlbertoNot enough data
- BlendNot enough data
- DockersNot enough data
Return rate
How often is a product of this brand in the «Casual trousers» category returned?
Source: Digitec Galaxus- DrykornNot enough data
- 1.Name it4.2 %
- 2.Erwin Müller5.2 %
- 3.Pieces6.3 %
- 3.Vertbaudet6.3 %