Price: ₹1,999 - ₹849.00
(as of Oct 15, 2024 11:24:14 UTC – Details)
Add these amazing Doctor Extra Soft flexible and lightweight memory foam shoes for men to your shoe closet. Brought to you by Family Footwear, these memory foam shoes are not only flexible and lightweight but also extremely comfortable to wear. Now, you can keep your feet comfortable with this pair of Doctor Extra Soft Footwear for Women that are expertly crafted to provide optimal support to your ailing feet. It is soft padded and ergonomically designed to support and soothe feet suffering from orthopedic problems. Diabetic foot problems relieve heel arch and ankle pain. Soft insoles, flexible soles for better walking comfort, extra soft and comfortable soles for heel comfort. Common foot pain and discomfort heel pain, arch pain plantar fasciitis, diabetes, back pain and circulation. They are anti-skid and durable shoes and are widely used by women/women of all ages, especially the elderly, diabetics, plantar fasciitis, orthopedic pain, heel pain, arch pain, ankle pain, knee pain and back pain. Good rubber grip enables you to use these shoes on wet floors, tiles, marble etc. This rubber sole is long lasting and provides uninterrupted daily use. Its memory fall insole increases comfort, reduces foot pain, increases performance, reduces foot pressure, absorbs heel shock and reduces fatigue.
Product dimensions : 20 x 7 x 8 cm; 299 grams
First Available Date : 27 February 2023
Manufacturer : Doctor Xtra Soft
ASIN : B0BWYZK6L1
Item Model Number : D-1003
Country of origin: India
Section : Women
Manufacturer : Doctor Xtra Soft
Packer : Doc Extra Soft
Item Weight : 299 grams
Item Dimensions LxWxH : 20 x 7 x 8 cm
Net Ratio : 1.00 No
Generic Name: Loafer Flat
Customers say
Customers like the comfort, quality, and style of the shoes. They mention they’re soft, go well with trousers, and come in different colors. Some are satisfied with the weight, foot pain, and foot health. However, some customers have different opinions on the fit and value for money.
AI-generated from the text of customer reviews
