Vera Mont Modern fit trousers with pockets
42Only 2 items in stock at third-party supplier
Product details
Chic and trendy! The pants by Vera Mont in Modern Fit are a stylish wardrobe basic that creates a modern silhouette with its high-waist cut and appealing waistband detail. Side pockets provide practical storage, while the flowing cut ensures graceful and elegant movement. These solid-colored pants are a versatile piece that can be effortlessly combined with various outfits to achieve a contemporary and chic look.
Cut | Narrow |
Waist | 80 |
Exact colour description | Black |
Material composition | 100 % polyester |
Trouser type | Chino/Cloth trousers |
Item number | 45908617 |
Manufacturer | Vera Mont |
Category | Casual trousers |
Release date | 17.5.2024 |
Colour | Black |
Exact colour description | Black |
Upper | Polyamide, Polyester |
Material composition | 100 % polyester |
Target group | Women |
Trouser type | Chino/Cloth trousers |
Clothing size | 42 |
Waist | 80 |
Cut | Narrow |
flange height | Cheer |
Trouser style length | Long |
Fastener | Elastic band |
Pockets | Hand pockets |
Style | Business |
Pattern | Unicoloured |
Special sizes | Normal size |
Washing instructions | Do not bleach, Do not tumble dry, Hand wash |
Country of origin | China |
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- Vera MontNot 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- Vera MontNot 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- Vera MontNot enough data
- 1.Name it4.3 %
- 2.Erwin Müller6.1 %
- 2.Vertbaudet6.1 %
- 4.Pieces6.6 %