实例探究.
添加案例
我们的案例数据库覆盖了全球物联网生态系统中的 22,657 家解决方案供应商。
您可以通过筛选条件进行快速浏览。
Download Excel
筛选条件
-
(2)
- (1)
- (1)
-
(1)
- (1)
- (1)
- (2)
- (2)
- (1)
- (3)
- (2)
- (1)
- (2)
- (1)
- (1)
- (1)
- (1)
- 查看全部 5 用例
- (1)
- (4)
Selected Filters
![]() |
应对大流行后的货运和航运格局:案例研究
自 COVID-19 大流行爆发以来,由于通货膨胀压力、贸易模式转变和物流成本上升,全球物流业面临着严重破坏。海运价格,特别是中国-美国西海岸的运价呈下降趋势,已达到疫情前的水平。截至 2022 年 11 月,美国进口集装箱量有所下降,洛杉矶/长滩等主要港口的拥堵状况显着缓解。然而,自 2022 年 4 月底以来,从亚洲运送 40 英尺集装箱到美国西海岸的运费已下降了 80% 以上,而到东海岸的价格则下降了近三分之二。物流成本的下降主要是由于消费者支出的减少,这影响了过去两年许多进口商的销售。此外,港口工会之间的劳资纠纷和合同谈判也加剧了局势的复杂性。
|
|
|
![]() |
How Sysco’s International Food Group (IFG) got instant access and easy control of freight rates, and improved carrier negotiations
Sysco IFG, a division of America's largest foodservice company, Sysco, coordinates thousands of products from over 90 countries, reaching millions of consumers daily. The company's goal is to reduce costs to customers, reduce delivery time for cargo, documents, and information, and increase logistics income. However, they faced challenges in making freight shipping rates available to sales and sourcing teams and ensuring those rates were used. The involvement of logistics and accounting teams in the sales process was resource-draining and slowed down the sales process, costing them sales.
|
|
|
![]() |
Code&Quill 的数字化转型:利用 Freightos.com 简化货运物流
Code&Quill 是一家总部位于德克萨斯州的创意笔记本公司,在管理货运物流方面面临着重大挑战。在 Kickstarter 众筹活动取得成功后,该公司必须向近 1,200 名支持者运送货物。然而,货运行业过时的做法不利于像 Code&Quill 这样小型但快速增长的企业的需求。该公司的物流经理 Dan Otto 发现自己要等待一个货运报价长达 48 小时,而流程中缺乏透明度和效率阻碍了公司的发展。该团队需要一个能够简化运输流程、降低成本并节省时间的解决方案,使他们能够专注于核心业务。
|
|
|
![]() |
Global Airfreight International: Rate Management and Automated Quoting
Global Airfreight International (GAI) was facing a high cost of sale due to the time-consuming process of generating quotes for freight rates. The process involved manually looking up the right carrier and rate, typing out the quote in an Excel spreadsheet, and then emailing it to the agent or customer. This process could take up to an hour per quote and was prone to inaccuracies due to human error. GAI needed a system that could handle complex pricing levels across different clients and routes, provide faster and more accurate quotes, and reduce their cost of sale.
|
|