Gilia flared pants
Available in stores
Product essentials
- Material
- 100% upcycled wool
- Fit
- Straight cut, flared at the bottom of the leg.
- Made in
- Made in Romania
- Details
- Button, hook-and-bar and zip fasteningMilk-based buttonsButtoned back waist adjustersSlanted pockets
- Lining
- Pocket lining: 100% organic cotton
The Gilia trousers follow a straight leg that flares subtly at the hem. The style is made from upcycled wool fabric. Waist adjusters and slanted pockets keep the construction precise.
Orders are prepared within 24 hours. Delivery time depends on the carrier and destination.
If you are unsure about sizing, contact the store or email us at shop@noyoco.com.
You have 30 days from the order date to return an item. Our returns portal is available here.
Discover its
History
From fabric to final assembly, each production is documented. Discover where and when this piece was made.
Documented productions
- Washing: No machine washing. Often, simply airing it is enough. Otherwise, opt for professional cleaning.
- Spinning: Rinse gently but thoroughly with clean water, never wringing your piece. Lightly knead your piece, wrapping it in a towel to remove excess water before drying. Opt for air-drying.
- Ironing: You can iron at a low temperature (110°C).
ENVIRONMENTAL IMPACT
The NOYOCO brand
We prioritise natural materials. Depending on the garment, some fabrics come from existing stocks or specialist upcycling sources; others are developed by European spinners and weavers.
The available composition and origin are specified on each product page. When information is not verified, we leave it out.
The collections are conceived in Paris. Depending on the garment, development, fitting, manufacturing and quality control involve our team in Bucharest and European partners.
The manufacturing location varies from one product to another and is stated when documented.
The verified information specific to each garment appears on its product page and, when available, in its passport: composition, fabric origin, manufacturing location and production data.
Missing data is hidden rather than filled in by assumption.