Product details
The culotte is a versatile piece of clothing characterized by its wide cut and 7/8 length. Made from high-quality viscose, it offers both comfort and an appealing look. The culotte in an elegant olive tone is ideal for a casual look and can be effortlessly paired with various tops. It features practical side pockets that combine functionality and style. With a regular waist height and a simple, solid color design, these pants are suitable for both everyday wear and special occasions. The culotte is designed for adults and is available in clothing size W40/L28. Its loose fit provides freedom of movement and a pleasant wearing experience, while the timeless style makes it an essential part of any wardrobe.
Cut | Wide (Boyfriend, Loose Fit) |
Exact colour description | Olive |
Material composition | Viscose |
Trouser type | Culotte |
Item number | 54978887 |
Manufacturer | Tom Tailor |
Category | Casual trousers |
Release date | 26.2.2025 |
Colour | Green |
Exact colour description | Olive |
Material composition | Viscose |
Target group | Women |
Trouser type | Culotte |
Clothing size | W40/L28 |
Cut | Wide (Boyfriend, Loose Fit) |
flange height | Regular |
Trouser style length | 7/8 |
Pockets | Hand pockets |
Style | Casual |
Pattern | Unicoloured |
CO₂-Emission | |
Climate contribution |
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Reviews & Ratings
Warranty score
How often does a product of this brand in the «Casual trousers» category have a defect within the first 24 months?
Source: Digitec Galaxus- Tom TailorNot enough data
- 1.Alberto0 %
- 1.Blend0 %
- 1.Dockers0 %
- 1.La Redoute Collections0 %
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- Tom TailorNot enough data
- 1.Jack & Jones0 days
- AlbertoNot enough data
- BlendNot enough data
- DockersNot enough data
Return rate
How often is a product of this brand in the «Casual trousers» category returned?
Source: Digitec Galaxus- Tom TailorNot enough data
- 1.Name it4.2 %
- 2.Erwin Müller5.9 %
- 3.Vertbaudet6.5 %
- 4.Pieces6.9 %