Soeur

Soeur GLADYS DRESS, Kaki Chine

Dresses, Women
€137,00 €275,00
Lowest prior price: €275,00 EUR
    Size
    • Slim fit
    • 60% virgin wool, 40% cotton
    • Lining: 100% cotton
    • Above knee length
    • Slightly boat collar
    • Invisible zip opening at the back
    • Front and back darts to accentuate the waist
    • Cotton canvas with marled wool
    • Reference: ROB0111GLADYS25WKAK16
    • Wash: Mild solvent dry cleaning
    • Made in Tunisia

     

     |  ROB0111GLADYS KAKI CHINE

    Description

    The dress is made of wool-cotton blend and cut to above the knee length. It features boat neckline, zipper at the back and is shaped with darts at the front and back for a body hugging fit.

    About the brand

    Soeur is a Parisian fashion brand known for its effortless, feminine designs that blend classic French style with modern sensibility. Founded with a focus on creating timeless, versatile pieces, Soeur emphasizes quality fabrics and subtle details. The brand celebrates everyday elegance, offering wardrobe staples that feel both sophisticated and comfortable.

    Shipping

    Shipping fees are calculated at checkout.

    Orders are shipped on business days (Monday–Friday).
    Orders placed during the weekend will be processed on the next business day.

    Delivery methods and transit times vary by destination.
    Please see our Shippin Policy for country-specific details.

    Returns & Exchanges

    We offer a 14-day return policy from the date of delivery.

    For orders within Finland, we offer free exchanges with no additional fees.
    For orders outside Finland, customers are responsible for the return shipping cost, while we cover the shipping cost of the replacement item.

    Please see our Refund Policy for country-specific details.

    About us

    Beamhill exists to bring meaning, craftsmanship, and culture back into fashion retail.

    Founded in Finland in 1986, we are a family-owned business built on curation, not volume.
    Every piece we offer is carefully selected by our team — guided by experience, cultural relevance, and long-term quality — not algorithms or mass demand.

    Read more about us.