Urban Classics Ladies Soft Knit V-Neck Pullover brownmelange M
MProduct details
The Ladies Soft Knit V-Neck Pullover in the color variant brown melange combines elegance and modern style. With its V-neckline and melange texture, this knit pullover offers an appealing look that is suitable for both professional and casual settings. The brushed material gives the classic cut a luxurious texture that feels pleasant against the skin. The regular fit ensures a comfortable fit, while the long sleeves provide additional comfort. This pullover is a versatile addition to any wardrobe and can be effortlessly paired with various outfits.
- Elegant V-neck for a modern look
- Luxurious texture from brushed material
- Versatile for business and leisure
- Comfortable regular fit.
Exact colour description | brownmelange |
Target group | Women |
Item number | 67351404 |
Manufacturer | Urban Classics |
Category | Sweaters |
Release date | 18.2.2026 |
Colour | Brown |
Exact colour description | brownmelange |
Upper | Polyester, Spandex, Viscose |
Target group | Women |
Sweater type | Knitted sweater |
Clothing size | M |
Fastener | Slip |
Pattern | Mottled |
Sleeve length | Long sleeves |
Collar shape | V-neck |
Fit | Regular fit |
Pockets | Without pockets |
Style | Casual |
CO₂ emissions | 8.71 kg |
Climate contribution | CHF 0.21 |
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Reviews & Ratings
Warranty score
How often does a product of this brand in the «Sweaters» category have a defect within the first 24 months?
Source: Digitec Galaxus- Urban ClassicsNot enough data
- 1.Armedangels0 %
- 1.Awdis0 %
- 1.Blend0 %
- 1.Cash-Mere0 %
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- Urban ClassicsNot enough data
- 1.Selected0 days
- ArmedangelsNot enough data
- AwdisNot enough data
- BlendNot enough data
Return rate
How often is a product of this brand in the «Sweaters» category returned?
Source: Digitec Galaxus- Urban ClassicsNot enough data
- 1.vidaXL2.9 %
- 2.Difuzed4.2 %
- 3.Name it4.3 %
- 4.Vertbaudet4.9 %