为全球汽车供应商自动进行预测和产能检查
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
- 汽车
- 运输
适用功能
- 离散制造
- 销售与市场营销
用例
- 添加剂制造
- 需求计划与预测
关于客户
该客户是汽车和工业领域的全球领先供应商。它是世界上最大的家族企业之一，拥有全球制造、研发和销售设施网络。该公司在管理 OEM 预测的质量和准确性、利用外部市场数据进行需求规划以及进行手动产能检查方面面临着挑战。该公司在这些流程中严重依赖 Excel 和 SAP APO，这些流程效率低下，并且缺乏有效决策所需的智能。
挑战
该客户是汽车和工业领域的全球领先供应商，在管理 OEM 预测的质量和准确性方面面临着重大挑战。该公司无法利用外部市场驱动因素来预测需求，并且严重依赖 Excel。这导致预测的质量和准确性存在很大差异。此外，OEM 预测之间的需求缺乏一致性，这些预测存储在多个 Excel 工作表中。该公司还可以从 IHS 等提供商处获取外部市场数据，但未能成功利用这些数据来改进需求规划。此外，容量检查是在 Excel 中手动完成的，这导致执行系统 (SAP APO) 之上缺乏一层智能。
解决方案
该公司采用 o9 平台在一个平台上自动整合 OEM 预测，包括趋势分析，并通过自下而上的销售预测进行丰富。该平台还可以对发送到多个工厂的 OEM 预测进行智能三角测量，以识别不匹配的情况。该公司能够将外部数据提供商（例如 IHS）的数据纳入规划流程，以简化所有生产零件的采用率预测的计算。 o9 平台还允许公司直接在平台上运行容量检查和完整的 S&OP 流程。 o9 平台用于运行需求预测、高级 S&OP、容量检查、趋势分析和自动化 OEM 预测，同时利用 o9 的机器学习预测模型。 o9平台取代的系统是SAP APO和Excel。
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