coowoz Large Casual Travel Backpack For Women Men,Carry On Rucksack Flight Approved,Hiking Waterproof Outdoor Sports Daypack Fit 15.6 Inch Laptop Shoes Compartment (Beige)
Price: $29.99
(as of Sep 22, 2024 02:16:46 UTC – Details)
From the brand
Large Travel Backpack
Casual backapck
Carry on backpack
【Large Upgraded Version】Size: Large-L;Increase capacity, improve comfort.
【Large Travel Backpack for women】This backpack is made of waterproof durable polyester, good air permeability and heat dissipation with two padded shoulder straps, offers lightweight carrying and of force reinforcement,keeping cool when you carry it for a long time. And it is tough, firm and does not fade.
【Separate shoe compartment design and wet pocket】Main pocket x 2, laptop compartment x 2, and many other pockets for different purposes. Wet bags are made of high-density waterproof material to help you separate wet and dry items, and if you have wet clothes or towels, you can put them in the wet bag. A separate shoe cabinet can help you better carry your shoes and store them in your travel bag.
【USB Charging Port】Built-in charging port to charge your phone anytime, anywhere.
【Anti-theft Multifunctional Backpack】There is a zipper pocket on the back of the bag, which can store valuables such as mobile phones and iPads, which is anti-theft and convenient. Multifunctional Daypacks：Hybrid (Backpack/Duffle Bag/Shoulder Bag/Travel Bag) conversion. Can be used several different ways. It can be served as work backpack,spacious college backpacks, professional backpack for laptop or daily use at anywhere for weekend getaway,occasiona.
【Size】External size: (L*W*H)33*20*47cm/12.99″*7.87″*18.5″ , Weight: 1.285KG/2.83 LB Size: Large-L
Customers say
Customers like the backpack for its space, travelability, and durability. They mention it has plenty of pockets, a separate compartment for shoes, and is perfect for a personal item carry-on. Some also like the color and comfort. However, some customers have different opinions on the size and zipper quality.
AI-generated from the text of customer reviews
