Kaffe Stina Amber
38Size4
Product details
The Stina Amber Blouse by Kaffe combines elegance and comfort in a timeless design. Made from a flowing and slightly transparent material, it offers a loose fit that gently hugs the body. The deep V-neckline adds a feminine touch, while the long, puffed sleeves with tapered cuffs create a modern look. This blouse is perfect for various occasions, whether at the office or in leisure time, and can be styled in many ways.
- Flowing, slightly transparent material for high wearing comfort
- Modern, loose fit with feminine accents
- Deep V-neckline for an elegant look
- Long puffed sleeves with tapered cuffs.
Exact colour description | black deep |
Clothing type | Blouse |
Item number | 62921733 |
Manufacturer | Kaffe |
Category | Blouses |
Manufacturer no. | 10511003-100121 |
Release date | 13.10.2025 |
Colour | Black |
Exact colour description | black deep |
Upper | Viscose |
Target group | Women |
Age group | Adults |
Clothing type | Blouse |
Clothing size | 38 |
Sleeve length | Long sleeves |
Collar shape | V-neck |
Pattern | Unicoloured |
Elasticity | Slightly elastic |
Sleeve ends | Cuff |
Fuselage closure | Normal hem |
Special sizes | Normal size |
Country of origin | France |
CO₂ emissions | 16.89 kg |
Climate contribution | CHF 0.40 |
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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- KaffeNot enough data
- 1.Only0 %
- 1.Pieces0 %
- 1.Vero Moda0 %
- 1.Vila0 %
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
- 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- KaffeNot enough data
- 1.Vero Moda13.1 %
- 2.Pieces19 %
- 3.Only19.8 %
- 4.Vila27.5 %