Aurora white floral lace babydoll chemise with sheer mesh fabric, deep V-neckline, and adjustable spaghetti straps.

Elegant Floral Lace Embroidered Nightwear Chemise

LE 5.00 EGP

Elegant Floral Lace Embroidered Nightwear Chemise

Name: Elegant Floral Lace Embroidered Nightwear Chemise
Brand: Marshmello
SKU: 4660
Price: 5.00 EGP
Availability: InStock

LE 5.00 EGP

Indulge in pure elegance with this exquisite white lace babydoll, designed to make you feel effortlessly beautiful. Crafted from a delicate, sheer mesh fabric, this piece offers a soft and lightweight feel against the skin, ensuring comfort throughout the evening. The intricate floral lace detailing along the bodice adds a touch of romantic sophistication, while the deep V-neckline creates a flattering silhouette that celebrates your natural curves. Featuring adjustable spaghetti straps, this babydoll provides a customisable fit for ultimate comfort and confidence. The flowing, semi-sheer skirt drapes gracefully, creating a dreamy and ethereal look that is perfect for special occasions or simply elevating your everyday loungewear collection. Whether you are looking to treat yourself or searching for the perfect gift, this timeless piece combines delicate craftsmanship with a modern, feminine aesthetic. Pair it with the matching thong for a complete, coordinated look that exudes charm and grace. Experience the perfect blend of comfort and allure with this essential addition to your intimate apparel wardrobe.

Our goal is for every customer to be totally satisfied with their purchase. If this isn't the case, let us know and we'll do our best to work with you to make it right.

Shipping & Delivery

We currently ship within Cairo and Giza only.

Shipping fee: 80 EGP per order.
Estimated delivery time: 3–5 business days after order confirmation.
Delivery times may vary during holidays, sales periods, or due to unforeseen circumstances.
Customers will be contacted before delivery to confirm their order.

Clear shipping policies should state delivery costs and estimated delivery times to set customer expectations and reduce support inquiries.