Marca: tendedero

Storage Shelving Unit Cover See Through, Fits Racks 48"L X 18"W X 72"H -Durable Steel Organizer Wire Rack Covers Waterproof

72,27 €36,98 €Oferta
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Descripción

SPECIFICATIONS

Brand Name: NONE

CN: Zhejiang

High-concerned chemical: None

Origin: Mainland China

Features:

*See-through mesh PVC panel: This storage shelf cover features an easy access see-through mesh PVC panel, allowing you to see exactly what you have on your 5-tier rack. The panel is transparent, providing clear visibility of your stored items.

*Convenient  for access with 3-way zippers: The cover is designed with 3-way zippers on both the front and back panels, allowing for easy access from the front or the back. You can even roll up  or 2 panels and secure them at the top for sustained access.

*Water resistant coating: With a water-resistant coating, this cover prevents rain and moisture from getting inside and protects your stored items from getting wet.

*Suitable for outdoor use: The cover is equipped with a strong protective layer and wind straps, making it suitable for outdoor use. It can withstand various weather conditions and protect your items effectively.

*Designed for shelving units: This protective cover is specially designed to fit over shelving units, providing a barrier between stored items and the floor. It is perfect for storing tools, sports gear, or other equipment outdoors in sheds, garages, trucks, and cars.

*Cover only: Please  for ensure to measure your metal, chrome, or plastic organizer rack to  for ensure the correct size for this cover. This listing is for the cover only, offering a perfect fit for your specific shelving unit.

Specifications:

*Part Name:Storage Shelf Cover

*Material:PVC mesh

*Size:Fits racks 48"L x 18"W x 72"H

*Color:black

Package Content:

1*Storage Shelf Cover

Note:

1. The real color of the item may be slightly different from the pictures shown on website caused by many factors such as brightness of your monitor and light brightness.
2. Please allow slight manual measurement deviation for the data.