机器学习驱动的潜在客户评分：提高 Carson Group 的营销效率
技术
- 分析与建模 - 机器学习
- 应用基础设施与中间件 - 事件驱动型应用
适用行业
- 教育
- 设备与机械
适用功能
- 产品研发
- 销售与市场营销
用例
- 预测性维护
- 虚拟培训
服务
- 数据科学服务
- 培训
关于客户
卡森集团控股有限责任公司是一个顾问生态系统，提供顾问辅导计划、流程优化开发和投资策略等服务。他们希望利用人工智能/机器学习来优化营销工作并帮助客户更有效地获取新客户。
挑战
卡森集团控股有限责任公司希望加大营销力度，帮助其投资顾问客户更有效地获取新客户。他们决定采用 AI/ML 并实施机器学习模型来对从 Salesforce 收到的销售线索进行评分。
解决方案
Provectus 开发了一种用于线索评分的机器学习模型，从数据发现和评估开始。他们从头开始构建模型，包括 EDA、特征工程以及训练和推理管道的开发。该模型旨在处理新数据并生成预测。 Provectus 为每个开发阶段提供了文档。
运营影响
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