Darong Women’s 2 Piece Sets Fall Outfits Long Sleeve Wide Leg Tracksuits Casual Lounge Set Matching Sets
Price: $31.91
(as of Dec 14, 2024 07:51:17 UTC – Details)
Women Two Piece Set Long Sleeve Crew Neck Top with Wide Leg Pants Sets
Keep it coordinated with a paired set that’s perfect for mixing and matching.Effortlessly comfy, this set is easy to throw on before or after workouts.
Detail:
Soft, jersey fabrication; relaxed fit; long sleeve tee top with ruched detail;
full length pant with high-rise waist and wide leg; elasticated waistband; side seam pocket.
This set is so versatile and can go anywhere with you.
These lounge sets can be easily styled with sneakers for a day out or slippers for a cozy day in.
The versatility of the set extends to its pieces being worn separately, allowing for greater flexibility in outfit combinations.
Women Casual Two Piece Outfits for Women Long Sleeve Crop Top High Waist Pants Tracksuit Sets Streetwear
These fall outfits consist of long-sleeve tops paired with wide-leg tracksuits, creating a harmonious balance between a casual look and a chic loungewear aesthetic.
This two piece set is a must for slipping on in the fall and winter to come.
Designed in soft stretchy and skin friendly fabric to give you a wonderful wearing experience.
Available in Two Inseam lengths,Please refer to the size chart before ordering.
Care:Hand wash or machine wash cold,non-chlorine bleach,do not tumble dry,cool iron,do not dry clean.
Package Dimensions : 12.36 x 9.37 x 2.24 inches; 1.41 Pounds
Item model number : 9065
Department : Women
Date First Available : June 5, 2024
ASIN : B0D65NKWF9
Customers say
Customers find the one-piece outfit comfortable and cute. They appreciate the soft, lightweight fabric that feels heavy yet breathable. The material is stretchy and flexible around the legs, making it versatile for various activities like traveling and hanging out at home. However, some customers have issues with the thickness of the material and differing opinions on the fit and shrinkage.
AI-generated from the text of customer reviews