Forclaz Boxer shorts ladies merino wool
Single pack, MMore than 10 pieces in stock at third-party supplier
Size2
Product details
These comfortable merino wool boxer shorts are ideal for hiking. The natural material is very comfortable to wear and dries quickly. The flat seams provide additional comfort. "Stop wearing just any trekking underwear" - these pants made from natural fibres are comfortable and dry quickly. The perfect companion for trekking!" The pants are specially designed for women and offer a good fit thanks to the mid-waistband. Care instructions: Dry flat and do not dry clean. With a 2-year guarantee.
Exact colour description | Black |
Material composition | 10% Polyamide, 4% spandex, 86% Wool |
Target group | Women |
Pants type | Briefs |
Multipack | Single pack |
Item number | 18172319 |
Manufacturer | Forclaz |
Category | Underwear |
Manufacturer No. | 8544731 |
Release date | 25.12.2021 |
Sales rank in Category Underwear | 1110 of 33545 |
Colour | Black |
Exact colour description | Black |
Upper | Merino wool |
Material composition | 10% Polyamide, 4% spandex, 86% Wool |
Target group | Women |
Pants type | Briefs |
Clothing size | M |
Fit | Regular fit |
Washing instructions | Do not dry clean, Dry lying down |
Country of origin | Switzerland |
CO₂ emissions | 6.16 kg |
Climate contribution | CHF 0.14 |
Multipack | Single pack |
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Reviews & Ratings
Warranty score
How often does a product of this brand in the «Underwear» category have a defect within the first 24 months?
Source: Digitec Galaxus- ForclazNot enough data
- 1.Adidas0 %
- 1.Aprel0 %
- 1.Björn Borg0 %
- 1.BOSS0 %
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- ForclazNot enough data
- 1.Bn3Th0 days
- 1.Calida0 days
- 1.Calvin Klein0 days
- 1.Jack & Jones0 days
Return rate
How often is a product of this brand in the «Underwear» category returned?
Source: Digitec Galaxus- ForclazNot enough data
- 1.Rohner0 %
- 2.Bench0.5 %
- 2.Galaxus0.5 %
- 2.Head0.5 %