
Reiss Womens Slim Chino Trousers UK 8 Small W26 L27 Grey Houndstooth
- Label Size: UK 8
- Brand: Reiss
- Department: Women
- Size: 8
- Colour: Grey
- Pattern: Houndstooth
- Material: Polyester
- Other Materials: Viscose
- Fabric Type: Woven
- Category: Chino
- Type: Trousers
- Style: Designer
- Fastening: Zip
- Fit: Slim
- Length (inches): 27
- Waist (inches): 26
- Rise (inches): Mid (8.5-10.5 in)
- Washing Instructions: Dry Clean Only
- Exact Material Composition: 63% Polyester, 33% Viscose, 4% Elastane
- AI Description: Elevate your wardrobe with these stylish REISS womens trousers. Crafted from a comfortable polyester blend, they feature a classic grey check pattern and a flattering slim fit. Designed for versatility, these trousers offer practical pockets and a secure zip closure. Perfect for both smart-casual and formal occasions, they are a sophisticated addition to any collection.
- Condition: Good Used Condition: the item has been worn but is well maintained and may show minor signs of wear
Product Information
Product Information
Shipping & Returns
Shipping & Returns
Description
- Label Size: UK 8
- Brand: Reiss
- Department: Women
- Size: 8
- Colour: Grey
- Pattern: Houndstooth
- Material: Polyester
- Other Materials: Viscose
- Fabric Type: Woven
- Category: Chino
- Type: Trousers
- Style: Designer
- Fastening: Zip
- Fit: Slim
- Length (inches): 27
- Waist (inches): 26
- Rise (inches): Mid (8.5-10.5 in)
- Washing Instructions: Dry Clean Only
- Exact Material Composition: 63% Polyester, 33% Viscose, 4% Elastane
- AI Description: Elevate your wardrobe with these stylish REISS womens trousers. Crafted from a comfortable polyester blend, they feature a classic grey check pattern and a flattering slim fit. Designed for versatility, these trousers offer practical pockets and a secure zip closure. Perfect for both smart-casual and formal occasions, they are a sophisticated addition to any collection.
- Condition: Good Used Condition: the item has been worn but is well maintained and may show minor signs of wear























