Merchcode Ladies Rose Oversized Slit Tee Dress - 119089
L7 pieces in stock at third-party supplier
Colour
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Product details
Discover the casual charm of the Ladies Rose Oversized Slit Tee Dress. This dress effortlessly combines style and comfort with its generous silhouette and subtle side slit that adds a playful touch. The soft fabric gently envelops the skin, providing a pleasant wearing experience that is perfect for relaxed days or casual outings. With its versatile aesthetic, it pairs beautifully with various accessories, offering endless styling possibilities. A must-have for anyone who values comfort without compromising on style.
Clothing type | Gown |
Exact colour description | Black |
Material composition | 100% cotton (organic) |
Target group | Women |
Item number | 43652125 |
Manufacturer | Merchcode |
Category | Casual dresses |
Release date | 6.3.2024 |
Colour | Black |
Exact colour description | Black |
Material composition | 100% cotton (organic) |
Upper | Cotton 100% |
Target group | Women |
Clothing type | Gown |
Clothing size | L |
Fit | loose fit |
Special sizes | Normal size |
Sleeve length | Short-sleeved |
Country of origin | Bangladesh |
CO₂-Emission | |
Climate contribution |
Washing instructions | Do not bleach, Do not tumble dry, Gentle wash cycle 30, Ironing at low temperature |
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Warranty score
How often does a product of this brand in the «Casual dresses» category have a defect within the first 24 months?
Source: Digitec Galaxus- MerchcodeNot enough data
- 1.La Redoute Collections0 %
- 1.Name it0 %
- 1.Only0 %
- 1.Vero Moda0 %
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- MerchcodeNot enough data
- La Redoute CollectionsNot enough data
- Name itNot enough data
- OnlyNot enough data
- PiecesNot enough data
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Return rate
How often is a product of this brand in the «Casual dresses» category returned?
Source: Digitec Galaxus- MerchcodeNot enough data
- 1.Name it9.5 %
- 2.Vertbaudet13.9 %
- 3.Pieces18.7 %
- 4.Only31.4 %