技术
- 分析与建模 - 机器学习
- 平台即服务 (PaaS) - 应用开发平台
适用行业
- 教育
- 运输
适用功能
- 物流运输
用例
- 计算机视觉
- 最后一英里交付
服务
- 数据科学服务
- 培训
关于客户
Flexport 是一个全球物流技术平台。他们的使命是通过将技术、分析和物流基础设施与实践供应链专业知识相结合,让每个人都能轻松进行全球贸易。他们处理大量的物流文件,例如提单、商业发票和到货通知,其中包含用于清关货物和建立货物所有权的关键信息。 Flexport 旨在通过自动化避免货物运输延误并加速内部运营。
挑战
Flexport 是一家全球物流技术平台,在处理提单、商业发票和到货通知等物流文件方面面临着重大挑战。这些文件对于货物清关和确定货物所有权至关重要,传统上是使用基于模板且容易出错的 OCR(光学字符识别)解决方案或手工进行处理。这种方法不仅耗时,而且容易出错,导致货物运输延误并减慢内部运营速度。 Flexport 意识到需要一种基于机器学习的文档处理解决方案,该解决方案可以实现流程自动化并在几秒钟内准确提取有价值的信息。然而,面临的挑战是找到一个在人工智能和机器学习方面拥有深厚专业知识的合作伙伴,他们可以在无需 Flexport 建立机器学习工程师或数据科学家团队的情况下实施该解决方案。
解决方案
Flexport 与 Scale Document AI 合作,后者提供了经过微调的机器学习模型,无需模板即可高精度、低延迟地处理物流文档。 Scale Document AI 的模型从物流文档中提取信息的准确度超过 95%,并且随着处理更多数据而不断改进。这些模型依赖于计算机视觉和自然语言处理基础模型,并通过注释 Flexport 文档的小样本来进一步微调。这显着提高了准确性,并允许在几秒钟内自动处理运输文件。这些模型能够理解文档的布局、层次结构以及每个字段的含义,从而能够适应布局变化、表格边界以及其他阻碍传统基于模板的 OCR 和 RPA 系统的不规则情况。
运营影响
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