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home > LAHIVE SHAE Mint Shorts- Size XS (Sold Out Online, we have matching top) dress Some pillling and signs of Size:See listing > LAHIVE SHAE Mint Shorts- Size XS (Sold Out Online, we have matching top) dress Some pillling and signs of Size:See listing
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LAHIVE SHAE Mint Shorts Size XS (Sold Out Online, we have matching top) dress Some pillling and signs of Size:See listing Some pillling and signs of wear Small stain on top front waistband *All Sales Final*
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LAHIVE SHAE Mint Shorts- Size XS (Sold Out Online, we have matching top) dress Some pillling and signs of Size:See listing

Item no : 65291746626
sold recently : Login >>
US$ 88.00
Pay in 4 interest-free payments of $22.00 Learn more
Min. order: 1piece

Shipping Estimate
USA
  • USA
  • CAN

Ships within 48 hours · Estimated delivery Oct 12 - Oct 17

Enjoy 20% off shipping

US$ 88.00

1-11

US$ 79.20

12-35

US$ 61.60

36-59

US$ 52.80

60+

US$40

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Shipping Notes
  • Free Standard Shipping on $100+ Orders to the USA.
  • Except Preorder products are shipped in 48 hours.
  • Delivery to the USA:
  1. Standard Shipping : 3-10 business days
  • If time is of the essence, please consider selecting expedited delivery for faster service.
Exchange/Return Notes
  • We offer a 30-day return/exchange service after receiving.
  • Final sale items are not eligible for returns or exchanges.
  • To process your return/exchange, please contact us at [email protected]
  • Please click here for more details>>> Return & Exchange Policy

Frequently Asked Questions for LAHIVE SHAE Mint Shorts- Size XS (Sold Out Online, we have matching top) dress Some pillling and signs of Size:See listing

How can I choose an appropriate purchase quantity?

Check what the seller means by a single unit in this offer. Consider whether buying in stages would better match an uncertain requirement.

How can I describe a product problem without guessing its cause?

Keep the wording specific rather than simply saying everything is wrong. Do not exaggerate the frequency or impact of what occurred.

How should I interpret an average product rating?

Look for the distribution of scores when it is available. Do not assume a low score establishes the cause of a problem.

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