编码描述:261 cartons ladies 75% silk 2 5% nylon knit pullover p.o. n o.: 7440615 pid: 31273bk805 hts no. 6110901060 ship wind ow:2008-08-22 - 2008- 08-28 44 cartons pid: 31273cf805 hts no.: 6110901060 12 carton s pid: 31273cf805 hts no.: 6 110901060 127 cartons pid: 31273cf805 hts no.: 611090106 0 7 cartons pid: 31273eg805 hts no.: 6110901060 309 car tons pid: 31273eg805 hts no. : 6110901060 47 cartons pid: 31273rb805 hts no.: 6110901 060 19 cartons pid: 31273rb8 05 hts no.: 6110901060 86 ca rtons pid: 31273rb805 hts n o.: 6110901060 shipper: zhe jiang taizhou jiaoma knitti w enling rd wenjiao jiangsha in dustrial ara total:2212 ca rtons, 11462.60 kgs, 63.367 cb m 107 cartons women's knit 90% viscose 10% nylon pullover sh ip date: 8/22-28 delivery dat e: 8/28 master contract no.: 745235 p.o.no. 7452355 pid: 6301blk194 hts no.:6110303059 wire transfer dept no.: 01 94 store. mcc 97 cartons wo men's knit 90% viscose 10% n ylon pullover ship date: 8/2 2-28 delivery date: 8/28 mas ter contract no.:745235 p.o.n o. 7452355 pid: 6301blk194 hts no.:6110303059 wire trans fer dept no.: 0194 store. mc c 91 cartons women's knit 9 0% viscose 10% n ylon pullove r ship date: 8/22-28 deliver y date: 8/28 master contract no.:745235 p.o.no. 7452355 pid: 6301cam194 hts no.:61103 03059 wire transfer dept no. : 0194 store. mcc 74 carton s women's knit 90% viscose 10 % n ylon pullover ship date: 8/22-28 delivery date: 8/28 master contract no.:745235 p.o.no. 7452355 pid: 6301cam1 94 hts no.:6110303059 wire transfer dept no.: 0194 stor e. mcc 29 cartons women's kn it 90% viscose 10% n ylon pu llover ship date: 8/22-28 de livery date: 8/28 master cont ract no.:745235 p.o.no. 74523 55 pid: 6301dkp194 hts no.: 6110303059 wire transfer dep t no.: 0194 store. mcc 68 c artons women's knit 90% visco se 10% n 编码来源:美国原始海关数据 产品标签: ppe,ipm,ion,o type,wood,cod,bedroom,packing material,carton,gh
HS编码70071102的贸易报告基于美国的2008-08至2009-07期间的进口数据汇总而成,共计1217笔交易记录。上图是HS编码70071102的市场趋势分析图,可以从交易次数的维度的趋势来了解当前行业的采购周期和业务稳定性。 同时我们也提供该编码的采购商排名、供应商排名、主要采购区域、出货港口、卸货港口等内容。基于这些板块数据可深度分析,助您精准洞悉市场动向。