Pieces Pcscarlett Ls Short Trenchcoat Noos

XXL
Delivered between Wed, 6.8. and Fri, 8.8.
Only 1 piece in stock at third-party supplier
Supplied by
free shipping

Size

Product details

  • Short, double-breasted trench coat- Wide lapel- Long raglan sleeves- Buttoned sleeve pockets- Piped side pockets- Regular fit.

Key specifications

Target group
Women
Exact colour description
Silver Gray
Jacket type
Trench coat
Material composition
100% polyester
Item number
49634862

General information

Manufacturer
Pieces
Category
Jackets
Release date
23.9.2024

Colour

Colour
Grey
Exact colour description
Silver Gray

Material

Upper
Polyester
Material composition
100% polyester

Target group

Target group
Women
Age group
Adults

Clothing properties

Jacket type
Trench coat
Clothing size
XXL
Layer of clothing
Outer layer / weather protection layer
Area of use
Leisure
Zipper type
Two-way
Length
Short
Pockets
Side pockets
Fit
Regular fit
Pattern
Unicoloured
Style
Casual
Season
All-season

Origin

Country of origin
China

Voluntary climate contribution

CO₂-Emission
Climate contribution

Cleaning

Washing instructions
Clean with perchlorethyleneDo not bleachIroning at low temperature

30-day right of return and free return shipment
24 Months Warranty (Bring-in)
1 additional offer

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Goes with

Reviews & Ratings

Warranty score

How often does a product of this brand in the «Jackets» category have a defect within the first 24 months?

Source: Digitec Galaxus
  • Pieces
    Not enough data
  • 1.Arc'teryx
    0 %
  • 1.Barbour
    0 %
  • 1.Black Diamond
    0 %
  • 1.CMP Campagnolo
    0 %

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
  • Pieces
    Not enough data
  • 1.Jack & Jones
    0 days
  • 2.Columbia
    1 day
  • 3.Rukka
    6 days
  • 4.Mammut
    22 days

Return rate

How often is a product of this brand in the «Jackets» category returned?

Source: Digitec Galaxus
  • Pieces
    Not enough data
  • 1.Korntex
    0 %
  • 1.Out of the blue
    0 %
  • 3.Hama
    1 %
  • 3.reisenthel
    1 %
Source: Digitec Galaxus