S.Oliver Bluse Viskosebluse mit Rückenausschnitt
326 pieces in stock at third-party supplier
Colour2
Size6
Product details
Discover the perfect viscose blouse for a casual look! Made from 100% viscose, this sleeveless blouse offers a flowing, relaxed fit. The trendy back cutout adds a playful touch, while the dropped shoulders create a laid-back silhouette. With a comfortable round neckline and no fastenings, this blouse is ideal for casual occasions. Pair it with jeans for everyday wear or with a skirt for a chic look. Let your creativity run wild and style the blouse according to your personal preferences! Treat yourself to this must-have for every modern woman.
Exact colour description | Light orange |
Clothing type | Blouse |
Material composition | 100% viscose |
Item number | 60138031 |
Colour | Orange |
Exact colour description | Light orange |
Upper | Viscose |
Material composition | 100% viscose |
Target group | Women |
Age group | Adults |
Clothing type | Blouse |
Clothing size | 32 |
Sleeve length | Sleeveless |
Pattern | Unicoloured |
Special sizes | Normal size |
Washing instructions | Do not dry clean, Do not tumble dry, Gentle wash cycle 30, Ironing at low temperature |
Country of origin | Indonesia |
CO₂-Emission | |
Climate contribution |
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Reviews & Ratings
Warranty score
How often does a product of this brand in the «Blouses» category have a defect within the first 24 months?
Source: Digitec Galaxus- S.OliverNot enough data
- 1.Dressforfun0 %
- 1.Only0 %
- 1.Vero Moda0 %
- PiecesNot enough data
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- S.OliverNot enough data
- DressforfunNot enough data
- OnlyNot enough data
- PiecesNot enough data
- Vero ModaNot enough data
Unfortunately, we don't have enough data for this category yet.
Return rate
How often is a product of this brand in the «Blouses» category returned?
Source: Digitec Galaxus- S.OliverNot enough data
- 1.Pieces15 %
- 2.Vero Moda15.3 %
- 3.Only18.6 %
- 4.Vila25.6 %