Belle Poque Women's Ruffle Off The Shoulder Cocktail Dress Bodycon Formal Dress Business Office Lady Workwear Pencil Dress A30

Product Description

Foot Length（cm/inch)	UK	US	AU	CA	EU
24.5/9.65	5.5	6.5	5.5	6.5	39
25/9.84	6	7	6	7	40
25.5/10.04	6.5	7.5	6.5	7.5	40.5
26/10.24	7	8	7	8	41
26.5/10.43	7.5	8.5	7.5	8.5	42
27/10.63	8	9	8	9	42.5
27.5/10.83	8.5	9.5	8.5	9.5	43
28/11.02	9	10	9	10	44
28.5/11.22	9.5	10.5	9.5	10.5	44.5
29/11.42	10	11	10	11	45
29.5/11.62	10.5	11.5	10.5	11.5	45.5
30/11.81	11	12	11	12	46
30.5/12	11.5	12.5	11.5	12.5	47
31/12.2	12	13	12	13	47.5

Silhouette:Sheath
Origin:CN(Origin)
Season:Summer
Neckline:Slash neck
Sleeve Style:Off the Shoulder
Decoration:RUFFLES
Style:vintage
Dresses Length:Above Knee, Mini
Material:Polyester
Age:Ages 18-35 Years Old
Profile Type:X
Closure Type:zipper
Sleeve Length(cm):Sleeveless
Type:Regular
Release Date:Spring 2022
Fabric Type:Brocade
Gender:WOMEN
Material Composition:Synthetic fiber
Waistline:empire
Pattern Type:Solid

Please check the measurements below and choose the right one
.
*Dress
Condition:
100% Brand New.
*
Dress
Fabric:
95%Polyester+5%Spandex.
*
Dress
Color
:
Black/Blue
(
As pictures show
).
*Dress Closure:
Zip(Back)
*Dress Embellishment:
Ruffles
*Dress Elasticity:
Medium Stretchy
*Dress Features:
1)
Hits above knee
2)
Sleeveless
3)
Vintage V-Neck,can also be worn as off shoulder
4)
Hidden zip at back
5)
With big ruffles decorated
6)
Hips-wrapped silhouette
7)
Right front side design at the base of hemline
8)
Dress is moderately stretchy
9)
Unlined
*Package Contents:1*
Dress
(No Accessories Included)
Garment Care Tips
:
1, Maximum washing temperature:30℃,Normal process
2, Do not bleach
3, Do not tumble dry
4, Iron at maximum sole plate temperature of 110℃,steam ironing may cause irreversible damage
5, Wash dark colors separately,Do not iron PU
Notes:
1,The actual color of garment might be slightly different from pictures,since different screens display colors differently due to monitor settings and pixel definitions.
2,Please allow slight manual measurement deviation for the data.

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