Leslie Amon Roselle Mesh Dress - Women's Clothing

Roselle Mesh Dress

LESLIE AMON

$305$390-21%

Color

Red

About the Leslie Amon Roselle Mesh Dress

The Leslie Amon Roselle Mesh Dress is a red maxi dresses for women crafted in polyester. It is now $305 (21% off the original $390) at Vêtir, available in L, XL.

100% polyester. Made in India. Dry clean only. Pull-on styling. Floral design with sequin embellished accents. Scoop neck. Garment is made with a semi-sheer fabric, undergarments can show through. LAMO-WD55. RSAS38.

Product Details

Brand
Leslie Amon
Category
Clothing
Subcategory
Maxi Dresses
Color
Red
Material
Polyester
Available sizes
L, XL
Reference
696896d998b8d6410d9861d8

Returns & Exchanges

Return and exchange policies for the Leslie Amon Roselle Mesh Dress vary by the brand or retailer that fulfills your order. Returns are generally not eligible on final sale items. Review the 30 days free return before shipping your item back. See full details on our Returns & Exchanges page, or contact Concierge@vetirapp.com.

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Leslie Amon Roselle Mesh Dress — Frequently Asked Questions

How much does the Leslie Amon Roselle Mesh Dress cost?

The Leslie Amon Roselle Mesh Dress is $305 USD (21% off, originally $390) at Vêtir. Price includes authentic designer quality.

What sizes are available for Leslie Amon Roselle Mesh Dress?

The Leslie Amon Roselle Mesh Dress is available in sizes: L, XL. Check Vêtir for real-time stock availability.

What is the Leslie Amon Roselle Mesh Dress made of?

The Leslie Amon Roselle Mesh Dress is crafted from Polyester. 100% polyester. Made in India.

How to style the Leslie Amon Roselle Mesh Dress?

Use Vêtir's free AI Stylist for personalized outfit recommendations with the Leslie Amon Roselle Mesh Dress in Red. Upload your wardrobe to the Digital Closet and get complementary pieces suggested from luxury designers.

Can I return the Leslie Amon Roselle Mesh Dress?

Yes, Vêtir offers returns. 30 days free return Visit the returns page for full details on the return process and timeframes.