Gabriela Hearst Cinxia Tank Top - Women's Clothing

Cinxia Tank Top

GABRIELA HEARST

$448$640-30%

Color

Pink

About the Gabriela Hearst Cinxia Tank Top

The Gabriela Hearst Cinxia Tank Top is a pink tanks & camis for women crafted in silk. It is now $448 (30% off the original $640) at Vêtir, available in S, M.

40% cashmere, 30% silk, 30% true hemp. Made in China. Dry clean mild. Pull-on styling. Lightweight ribbed jersey fabric. Low neckline. Form-fitting. GABF-WS96. 3269834. About the designer:

Product Details

Brand
Gabriela Hearst
Category
Clothing
Subcategory
Tanks & Camis
Color
Pink
Material
Silk
Available sizes
S, M
Reference
693bc24ddafbd47594beb06e

Returns & Exchanges

Return and exchange policies for the Gabriela Hearst Cinxia Tank Top 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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Gabriela Hearst Cinxia Tank Top — Frequently Asked Questions

How much does the Gabriela Hearst Cinxia Tank Top cost?

The Gabriela Hearst Cinxia Tank Top is $448 USD (30% off, originally $640) at Vêtir. Price includes authentic designer quality.

What sizes are available for Gabriela Hearst Cinxia Tank Top?

The Gabriela Hearst Cinxia Tank Top is available in sizes: S, M. Check Vêtir for real-time stock availability.

What is the Gabriela Hearst Cinxia Tank Top made of?

The Gabriela Hearst Cinxia Tank Top is crafted from Silk. 40% cashmere, 30% silk, 30% true hemp. Made in China.

How to style the Gabriela Hearst Cinxia Tank Top?

Use Vêtir's free AI Stylist for personalized outfit recommendations with the Gabriela Hearst Cinxia Tank Top in Pink. Upload your wardrobe to the Digital Closet and get complementary pieces suggested from luxury designers.

Can I return the Gabriela Hearst Cinxia Tank Top?

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