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Helping Shippers Make Efficient and Effective Truckload Decisions

机译:帮助托运人做出有效的卡车装卸决定

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摘要

HNRY Logistics set out to revamp their truckload brokerage offering when they recognized pricing and faster response times as their biggest hurdles to success. HNRY was able to utilize some data through rigid imports, but there was no built-in intelligence to adjust rates for capacity surpluses or shortages on the fly. Sales representatives had to download lane data and manually adjust rates in a 22,000-line Excel document to account for market fluctuations. While effective, the process was slow and repetitive; the upload process alone took an hour or longer. With speed and accuracy of the utmost importance, HNRY Logistics needed a faster way to respond to quote requests and safeguards to ensure sales reps were not getting burned due to limited available data.
机译:当HNRY Logistics认识到定价和更快的响应时间是其成功的最大障碍时,他们便着手改进其货车经纪业务。 HNRY能够通过严格的进口来利用一些数据,但是没有内置的智能功能可以即时调整容量过剩或短缺的价格。销售代表必须下载车道数据并在22,000行的Excel文档中手动调整汇率以解决市场波动。虽然有效,但过程缓慢而重复。仅上传过程就花费了一个小时或更长时间。鉴于速度和准确性至关重要,HNRY Logistics需要一种更快的方式来响应报价请求和保护措施,以确保不会因有限的可用数据而烧掉销售代表。

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    《Inbound logistics》 |2020年第4期|35-35|共1页
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