Aware Vmperry Hw Pant Vma Noos
MMore than 10 pieces in stock at supplier
Product details
Pants are simply essential in your wardrobe. The classic design with angled front pockets and minimalist details gives pants like these a timeless look, providing uncomplicated styling options and comfort. AWARE is a unique product line of higher-quality garments made with preferred, certified, and branded fibers that reduce the consumption of natural resources during production.
Product type: Pants
Closure: Hook-and-eye closure with zipper
Pockets: Front pockets
Waist: High waist
Fit: Regular fit.
Cut | Regular |
Exact colour description | Black |
Material composition | 15% Nylon |
Trouser type | Chino/Cloth trousers |
Target group | Women |
flange height | Cheer |
Item number | 51891355 |
Manufacturer | Aware |
Category | Casual trousers |
Release date | 12.10.2024 |
Colour | Black |
Exact colour description | Black |
Upper | Viscose |
Material composition | 15% Nylon |
Target group | Women |
Trouser type | Chino/Cloth trousers |
Trouser size | M |
Cut | Regular |
flange height | Cheer |
Trouser style length | Long |
Fastener | Zip |
Style | Casual |
Pattern | Unicoloured |
Special sizes | Normal size |
Washing instructions | Do not bleach, Do not tumble dry |
Country of origin | India |
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- AwareNot 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- AwareNot 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- AwareNot enough data
- 1.Name it4.2 %
- 2.Erwin Müller5.2 %
- 3.Vertbaudet6.7 %
- 4.Pieces8.6 %