Miss Elaine Intimates & Sleepwear | Miss Elaine Silky Light Blue Sleep Dress Womens 3xl Nwt $73 | Color: Blue | Size: 3x | Windjammer09's Closet
Delivery date & cost shown at checkout
30.00
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Miss Elaine Intimates & Sleepwear | Nwt Lavender Nightgown | Color: Purple | Size: L | Lalamoonbreeze's Closet
Delivery date & cost shown at checkout
35.00
Poshmark
Miss Elaine Intimates & Sleepwear | Nwt Miss Elaine Classics Waltz Flutter Sleeve Nylon Nightgown In English Rose M | Color: Pink | Size: M |
Delivery date & cost shown at checkout
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Product Details
SHORT LUXURY TRICOT NIGHTGOWN: Beautiful, feminine styling with flutter sleeves. Made with premium lightweight fabric. Petal Embroidery at neckline. Embellished with elegant details without sacrificing comfort.view less
DESIGNED IN THE US: Our women's nightgowns are built with lasting quality in mind, we durably construct our women's sleepwear with the best materials and quality stitching. Classic, luxurious, beautiful designs that don’t just transcend the moment; they make the moment.view less
GREAT FIT: Offering a well-fitting, luxury nightgown from our wide range of sizes. Whether you need a petite, regular, or plus-sized gown, you can ensure your nightgown fits perfectly with our trustworthy, stress-free, sizing chart.view less
LASTING QUALITY: We use the highest quality materials when we're designing our sleepwear to retain its beautiful condition even after multiple washes. Machine washable and carefree fabric for home or travel.view less
CUSTOMER SERVICE: We promise 100% satisfaction guaranteed on all of our lingerie and loungewear products. Helpful US based customer service that will always be there when you need them.view less
Best Review
Customers find the nightgown comfortable and well-made. They appreciate the soft, floaty fabric and pretty colors. Many customers find the fit roomy and the right length. The nightshirt is washable and lightweight. However, some customers have issues with color selection and have mixed opinions on the fabric quality.AI-generated from the text of customer reviews