Saiqa Majeed
Maya Kaftan
Couldn't load pickup availability
Description
Embrace soft, ethereal elegance with the Maya Kaftan, a delicately embellished ensemble rendered in a serene lilac hue. Crafted in a lightweight, semi-sheer fabric, its finely woven surface and fluid fall create an airy, elongated drape that gives the silhouette a graceful, floating quality.
Presented as a 3-piece ensemble, the set comprises a maxi-length open-front kaftan, a coordinating sleeveless inner top, and matching trousers. The kaftan’s relaxed, full-length cut layers effortlessly over the clean-lined separates, creating a poised balance between fluid movement and understated structure.
The kaftan is hand embellished with lustrous pearl clusters and fine silver-toned crystal detailing, tracing the open neckline in a refined ornamental border. Scattered pearl-and-crystal motifs illuminate the sleeves and body with restrained sparkle, while the flared cuffs are finished with layered arcs of embellishment that frame the wrists. A coordinated band of pearl detailing across the back completes the design with quiet, considered symmetry. The inner top and trousers remain plain, allowing the kaftan’s delicate embellishment to remain the focal point.
Ideal for Eid celebrations, formal gatherings, and elegant evening occasions.
-
Packed with Care and Love
Every product is thoughtfully packed with love and care. Our dedicated team ensures that each item is meticulously inspected and delicately wrapped before it reaches your doorstep.
-
Sustainable Manufacturing
With SAIQA MAJEED, you not only enjoy stylish and high-quality products but also contribute to a more sustainable and responsible fashion industry.
Join us in making a positive difference one purchase at a time.
-
Fast Shipping Worldwide
By placing an order for international shipping, the customer agrees to pay all taxes and customs duties when the package arrives in said country.
Packages that must be processed through customs may take extra time, so please allow for this when trying to estimate a delivery date.
