Cortical.io 语义搜索如何帮助一家跨国公司实现营销声明验证自动化
公司规模
Large Corporate
国家
- Worldwide
产品
- Cortical.io Semantic Search
技术栈
- Natural Language Understanding
实施规模
- Enterprise-wide Deployment
影响指标
- Productivity Improvements
- Cost Savings
技术
- 分析与建模 - 自然语言处理 (NLP)
适用行业
- 消费品
适用功能
- 销售与市场营销
用例
- 搜救
服务
- 数据科学服务
关于客户
客户是一家大型消费品公司。该公司必须遵守消费者保护法和行业自律准则。这意味着有关产品的所有营销声明都必须有事实研究结果支持，例如临床研究和消费者报告。每年有近 300,000 项新临床研究注册，手动跟踪与特定产品相关的新证据对公司来说是一项重大挑战。这些研究中使用的科学词汇通常与营销声明中使用的术语有很大不同，并且与产品相关的科学信息通常不是用文字表达的，而是封装在化学配方中。这使得验证过程无法自动化，这仍然是一个漫长而繁琐的过程，涉及人工搜索和手动验证证据文档的任务。
挑战
确保产品的营销宣传不具有误导性或欺骗性是这家大型消费品公司面临的一大挑战，该公司必须遵守消费者保护法和行业自律准则。为避免诉讼和相关费用，营销宣传必须有可靠的事实研究结果支持，例如临床研究和消费者报告。每年有近 300,000 项新临床研究注册，因此不可能手动跟踪与特定产品相关的新证据。此类研究中使用的科学词汇与营销宣传中使用的术语有很大不同，并且与产品相关的科学信息通常不是用文字表达的，而是包含在化学配方中。这使得验证过程无法自动化，这仍然是一个漫长而繁琐的过程，涉及人工搜索和手动验证证据文件的任务。
解决方案
Cortical.io 实施了一个先进的搜索引擎，使该公司能够自动化营销声明验证流程。Cortical.io 语义搜索能够理解营销声明的含义并将其与研究报告进行匹配，即使它们使用的词汇不同或相关信息包含在化学公式中。提取模型的训练速度非常快，仅基于公司主题专家对少量样本临床报告的注释。该解决方案可立即从研究报告和其他证据来源中提取高质量的结构化数据。主题专家对搜索结果质量的反馈直接循环回系统，以促进持续学习，同时保持一致的结果。
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