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SELECT o.`option`, `wasusd` AS wasPrice, `nowusd` AS nowPrice, p.`product`, p.`name`, p.`seourl`, sum(s.`stock`) as `stock`, sum(s.`sold`) as `sold`, 0 + IF((MAX(pt.`supertop`)>0),990000,0) + IF(os.`us-usd-online`='N' AND sum(s.`sold`) < 1, ROUND( 10000/(sum(s.`sold`)+1) ) ,sum(s.`sold`)) + IF(os.`us-usd-online`='N' AND sum(s.`sold`) > 1, ROUND( 1000+(sum(s.`sold`)+1) ) ,sum(s.`sold`)) + IF(os.`us-usd-online`='N' AND GROUP_CONCAT(DISTINCT om.`modifierID`) NOT LIKE('%95%'),910000,0) + IF(os.`us-usd-online` IN ('H','N','E','F','R','V') AND (GROUP_CONCAT(DISTINCT om.`modifierID`) NOT LIKE('%95%')),10000,0) + IF( GROUP_CONCAT(DISTINCT om.`modifierID`) NOT LIKE('%95%'),3500,0) AS `rank`, 0 + IF(os.`us-usd-online`='N' AND sum(s.`sold`) < 10, ROUND ( 910000/(sum(s.`sold`)+1) ) ,sum(s.`sold`)) + IF(os.`us-usd-online`='N' AND sum(s.`sold`) > 10, ROUND ( 91000+(sum(s.`sold`)+1) ) ,0) + IF(os.`us-usd-online`='E', 80000, 0) + IF(os.`us-usd-online`='F', 70000, 0) + IF(os.`us-usd-online`='R', 60000, 0) + IF(os.`us-usd-online`='U', 50000, 0) + IF(os.`us-usd-online`='S', 40000, 0) + IF(os.`us-usd-online`='C', 30000, 0) AS `newarrivalrank`, c.`basecolour`, c.`colour` AS colour, CONCAT( CONCAT('d', GROUP_CONCAT(DISTINCT CAST(bsm.`dress-size` AS UNSIGNED) SEPARATOR ',d')), ',', CONCAT('t', GROUP_CONCAT(DISTINCT CAST(bsm.`trouser-size` AS UNSIGNED) SEPARATOR ',t')), ',', CONCAT('l', GROUP_CONCAT(DISTINCT CAST(bsm.`leg-length` AS UNSIGNED) SEPARATOR ',l')), ',', CONCAT('s', GROUP_CONCAT(DISTINCT IF( ROUND(bsm.`shoe-size`) = bsm.`shoe-size`, CAST(bsm.`shoe-size` AS UNSIGNED), CAST(bsm.`shoe-size` AS char)) SEPARATOR ',s')) ) AS sizes, ob.`brandID`, os.`us-usd-online` AS status, GROUP_CONCAT(DISTINCT om.`modifierID`) AS modifiers, GROUP_CONCAT(DISTINCT od.`departmentID`) AS departments, MAX(pt.`promotext`) AS 'promoText', MAX(pt.`colourcode`) AS 'promoTextColour', MAX(pt.`badge`) AS 'badge', o.rating FROM `option-us` AS o JOIN `product-us` AS p ON (p.`product` = o.`product`) JOIN `colour` AS c ON (o.`colour` = c.`colour`) JOIN `sku-us-usd` AS s ON (o.`option` = s.`option`) LEFT JOIN `base-size-map` AS bsm ON s.`base-size` = bsm.`base-size` JOIN `option-brand` AS ob ON (ob.`option` = o.`option`) JOIN `option-department` AS od ON (o.`option` = od.`option`) JOIN `option-status` AS os ON (o.`option` = os.`option`) LEFT JOIN `option-modifier` AS om ON (om.`option` = o.`option` AND om.`modifierID` IN (SELECT `modifierID` FROM `modifier` WHERE `refinement` = 1) ) LEFT JOIN `promotext` AS pt ON (pt.`option` = o.`option` AND `site` = 'us' AND `currency` = 'usd' AND `from` < NOW() AND `to` > NOW() ) WHERE o.`option` = s.`option` AND s.`stock`+s.`backorderable`> 0 AND od.`departmentID` IN (9) AND o.`option` IN (SELECT `option-modifier`.`option` FROM `option-modifier` WHERE `option-modifier`.`modifierID` IN (50) ) AND os.`us-usd-online` IN ('N','E','F','R','M','S','U','C','V') GROUP BY o.`option` ORDER BY `rank` DESC, `stock` DESC, pt.`from` DESC
Women Slippers Up To Size 15

Wrap up in our range of lovely slippers for extra comfort on those chilly nights, or even just to lounge around at home. Although our slippers are designed to be warm and comfortable, we haven't forgotten about style, and you'll find a variety of chic slippers in our collection, in line with this season's top trends. For a relaxed night in, look no further than our Fur Trim Slipper Boots, available in a classic Fairisle knit snowflake print, in two fabulous shades. Team our slippers with a pair of soft-touch PJs from our sleepwear collection for a complete cozy bedtime look. .

Based on 9 customer reviews our slippers are rated 4 out of 5.
Discover 4 slippers with prices ranging from US $35.00 to US $69.00