Kaffe Amber Stanley
44Product details
The Amber Stanley blouse by Kaffe combines modern design with high wearing comfort and is a stylish addition to any wardrobe. This blouse is ideal for various occasions, whether in the office, meeting friends, or enjoying an elegant dinner. Its thoughtful design flatters different body shapes while ensuring freedom of movement. Made from high-quality materials, it offers both durability and a pleasant wearing experience. The blouse can be easily paired with casual jeans or an elegant skirt option. Additionally, it is easy to care for, making it convenient for everyday wear. The Amber Stanley blouse is therefore an excellent choice for anyone looking to combine style and comfort in their daily outfit.
- Modern and elegant design that unites aesthetics and functionality
- High-quality materials for optimal comfort and durability
- Versatile pairing options for various occasions and styles
- Easy care for effortless handling in everyday life.
Exact colour description | Surfing the Web |
Clothing type | Blouse |
Item number | 62921328 |
Manufacturer | Kaffe |
Category | Blouses |
Manufacturer no. | 10500781-193952 |
Release date | 13.10.2025 |
Colour | Multicoloured |
Exact colour description | Surfing the Web |
Target group | Women |
Age group | Adults |
Clothing type | Blouse |
Clothing size | 44 |
Country of origin | France |
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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
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Return rate
How often is a product of this brand in the «Blouses» category returned?
Source: Digitec Galaxus- KaffeNot enough data
- 1.Vero Moda13.2 %
- 2.Pieces19.2 %
- 3.Only19.7 %
- 4.Vila28.1 %