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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 o.`option` IN (SELECT `option-modifier`.`option` FROM `option-modifier` WHERE `option-modifier`.`modifierID` IN (63) ) 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
Tall Women Suits
The daily question of what to wear to work just got easier with our superb range of tall women's suits. You'll find a variety of matching suit separates in our collection, including classic bootcut and straight leg pants as well as flattering pencil skirts for a more feminine office look. Team these with our selection of smart suit jackets and blazers, complete with subtle details and accents to add a stylish twist to your work look, such as the contrast trim and kick flare on this statement Crepe Jacket. With sharp tailoring, quality fabrics and comfortable cuts, this collection makes short work of dressing to impress.
Based on 188 customer reviews our suits are rated 3.8 out of 5.
Discover 54 suits with prices ranging from US $39.00 to US $275.00