





Price: $59.00
(as of May 12, 2025 04:28:12 UTC – Details)
From the brand


Nesugar is an original design brand, industrial design as the driving force of innovation, to create innovative life aesthetic products. Interesting, innovation, simplicity as the brand design concept; The young and energetic design team is committed to exploring products with new experience methods and giving users a new experience;
UNIQUE DESIGN: Nesugar Steamer for Clothes has a one of a kind luxury-looking design. Mainbody is as light as only 0.8lbs, almost the weight of two Smart phones, long lasting for over 10 minutes of continuous steaming to emit wrinkle perfectly by using less steam, keeping clothes as dry as possible in the meantime.
EASE TO USE: 900W Steamer produces soft and long-lasting dry steam. preparation for steaming in just 15 seconds, with only one button to control for steaming. 6ft Power Cord, easy for operating steamer conveniently. Equipped with wall mount bracket and A travel storage bag, it can be a portable travel steamer or a handyhome steamer.
STEAMING IN ANY ORIENTATION: As a portable steamer, it is designed to use in all angles. Dual-use is designed with a hanging iron and a flat iron for home and travel uses. Rotating head is designed for various operation positions.
NO WATER SPOT LEFT BEHIND: Nesugar Hand-Held Steamer from any angle without any water left behind! For all kind of garments, all coats, wool, delicates, and more.
WHAT YOU GET: 1* garment steamer, 1* flannel storage bag, 1* wall mount bracket, 1* double-sided adhesive, 1* user manual, our worry-free 365 days warranty, and friendly customer service
Customers find the garment steamer portable and convenient for traveling, with a beautiful color and smart design. The steamer heats up quickly and produces a powerful stream of steam, getting wrinkles out easily and working well on clothes. They appreciate its build quality, noting it’s durable enough for travel use, and one customer mentions it works better with a steaming board.
AI-generated from the text of customer reviews