Product details
The long women's cardigan Vilda by KAFFE Curve combines style and comfort in an elegant design. Carefully crafted from high-quality materials, this cardigan not only offers a pleasant fit but also a soft feel against the skin, making it the ideal choice for cold days. With its loose silhouette and long sleeves, it provides freedom of movement and a feminine flair. The knee-length design and neutral color allow for versatile styling options, whether for a casual look with jeans or an elegant style with a skirt. KAFFE Curve is known for the quality of its garments, and the Vilda cardigan is no exception. It is not only fashionable but also environmentally friendly, as it is made from sustainable materials, making it a responsible choice for style-conscious consumers.
- Made from high-quality, sustainable materials
- Loose fit for optimal comfort and freedom of movement
- Versatile for various occasions
- Elegant design with a feminine silhouette and long sleeves.
Exact colour description | dawn purple |
Target group | Women |
Item number | 60586980 |
Manufacturer | Kaffe |
Category | Sweaters |
Manufacturer no. | 10582750-106557 |
Release date | 28.7.2025 |
Exact colour description | dawn purple |
Target group | Women |
Sweater type | Cardigan |
Clothing size | XL |
Sleeve length | Long sleeves |
Country of origin | France |
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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- KaffeNot enough data
- 1.Armedangels0 %
- 1.Awdis0 %
- 1.Cash-Mere0 %
- 1.Clique0 %
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- KaffeNot enough data
- 1.Christmas Sweats0 days
- 1.Selected0 days
- ArmedangelsNot enough data
- AwdisNot enough data
Return rate
How often is a product of this brand in the «Sweaters» category returned?
Source: Digitec Galaxus- KaffeNot enough data
- 1.vidaXL3.1 %
- 2.Name it4.2 %
- 3.Difuzed4.6 %
- 4.Vertbaudet5.1 %