GINNI Hanky Dry Wipe Tissue Paper, Ultra Soft Non Woven Disposable Face Cleaning Cloth, Durable for Cleansing, Facial, Makeup Removal, Multipurpose Tissue Napkin - Square 32 X 30 cm - 50 Pulls Each (Pack of 2)

Description

• - 40% Poly 60% Visc Plain Quality, 70 GSM Fabric, Sheet Size - 32 cm * 30 cm
• - Disposable, soft and absorbent dry fabric & Less expensive and more hygienic than your traditional hanky
• - Extremely durable and non-dis solvable compared to tissue paper
• - Extremely versatile product which has numerous applications
• - Dirty portions can be torn along straight lines to be resized and disposed

Do you use the same cloth to wipe the grease off your hand, mucus off your nose and sweat off your face, no need to fold & Store all the impurities in your pocket again. Switch over to a cleaner GINNI hanky. It is absorbent, soft, disposable and a perfect substitute for traditional clothes. Dirty portions can be easily torn along the straight lines to be re-sized and disposed. It is a highly versatile piece of fabric due to its strength when pulled along the same straight lines our cut wipes are made from super soft nonwoven spunlaced fabric, especially used in Saloon, spa, hotels, restaurants and in our homes. Features - absorbent, soft feel, hygiene, easy to carry and use.

Shipping and Returns

• We offer tracked shipping on all orders. Tracking information will be shared as soon as the order is dispatched.
• Please check the delivery estimate before adding a product to the cart. This is displayed for every product on the website.
• Available shipping methods and charges will be displayed at the time of checkout, depending on your exact location.
• All customers are entitled to a return window of 14 days, starting from the date of delivery of the product(s).
• Customers are advised to read our return policy for details of the return process, eligibility, refunds as well as cancellations or exchanges.
• In case of any issues or concerns about Shipping or Returns, please contact us and we will be happy to help.