Home Products AZL1 Life Concept 11-Drawer Dresser, Fabric Storage Tower for Bedroom, Living Room, Large Tall Dressers for Bedroom with Wooden Top and Metal Frame, Bedroom Dressers & Chests of Drawers, Dark Grey
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AZL1 Life Concept 11-Drawer Dresser, Fabric Storage Tower for Bedroom, Living Room, Large Tall Dressers for Bedroom with Wooden Top and Metal Frame, Bedroom Dressers & Chests of Drawers, Dark Grey

Original price was: $84.76.Current price is: $75.43.

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Description


AZL1 Lift Concept 11-Drawer Dresser, Fabric Storage Tower for Bedroom, Hallway, Nursery, Closets, Tall Chest Organizer Unit with Textured Print Fabric Bins, Steel Frame, Wood Top, Dark Grey
MULTIPURPOSE: The modern design storage dresser cabinet with various colors fit different space in your house: bedroom, living room, office, college dorm, closet and more. The water-proof wooden top is perfect to place alarm clock, phone, charger, eyeglasses, etc, keeping them in your reach.
SPACIOUS STORAGE:Light weight design to easily fit into smaller spaces while still providing plenty of storage space. An easy pull handle to make opening and closing smooth.
STURDY & DURABLE: This drawer organizer made of non-woven fabric, strong steel frame and durable water-resistant wooden top offer stable support. Four adjustable plastic feet to protect floor from scratches and are also designed for uneven ground.
EASY ASSEMBLY: This dresser for bedroom can be assembled about 15 minutes with the clear instructions and tools included in the package.
CUSTOMER SATISFACTION GUARANTEE — Feel free to email us in case you have any question about product and service and we will be happy to serve you with satisfactory reply in less than 24 hours!

Customers say

Customers like the appearance, sturdiness, value, and mobility of the dresser. For example, they mention it’s a beautiful product, has nice fabric, and is easy to put together. Some appreciate the ease of assembly. That said, some complain about the smell and missing pieces. Opinions are mixed on the fit.

AI-generated from the text of customer reviews