B.young BYMmorla Pointelle
XXLProduct details
The women's pullover BYMmorla Pointelle from b.young combines contemporary elegance with unparalleled comfort. Featuring a V-neck that accentuates the décolletage, this pullover offers a feminine and elegant silhouette. The refined knit pattern construction creates a delicate texture that catches the eye and lends the design a subtle elegance. It is versatile and can be effortlessly paired with various outfits, whether for a relaxed day or a more sophisticated occasion. Whether combined with jeans for a casual look or with a skirt for a sophisticated appearance, this pullover is suitable for any occasion. Additionally, it is easy to care for and provides all-day softness and lightness, making it a practical companion for everyday wear.
- V-neck for a feminine silhouette
- Refined knit pattern construction
- Easy-care and comfortable for everyday wear.
Exact colour description | Blue Melange |
Target group | Women |
Item number | 69023550 |
Manufacturer | B.young |
Category | Sweaters |
Manufacturer No. | 20817143-1640201 |
Release date | 1.4.2026 |
Colour | Blue |
Exact colour description | Blue Melange |
Target group | Women |
Sweater type | Knitted sweater |
Clothing size | XXL |
Fastener | Slip |
Pattern | Mottled |
Collar shape | V-neck |
Style | Casual |
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- B.youngNot enough data
- 1.Armedangels0 %
- 1.Awdis0 %
- 1.Cash-Mere0 %
- 1.Cotopaxi0 %
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- B.youngNot 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- B.youngNot enough data
- 1.vidaXL4 %
- 2.Difuzed4.2 %
- 3.Name it4.4 %
- 4.Vertbaudet4.9 %