技术
- 应用基础设施与中间件 - 数据可视化
- 平台即服务 (PaaS) - 应用开发平台
适用行业
- 运输
适用功能
- 物流运输
- 销售与市场营销
用例
- 需求计划与预测
- 数字孪生
关于客户
该客户是全球最大的啤酒公司之一,在全球拥有 400 多个不同啤酒品牌的产品组合。该公司在超过 32 个国家/地区开展业务,致力于利用一流的技术来增强其规划流程。该公司还注重可持续发展,旨在减少食物浪费和加快物流速度。该公司庞大的产品组合和全球影响力在预测、情景规划和跨不同时间范围的规划流程整合方面提出了独特的挑战。
挑战
全球最大的啤酒公司之一拥有 400 多个不同的啤酒品牌,在端到端规划过程中面临着重大挑战。该公司使用的是 SAP/APO,但它无法提供所需的预测准确度。预测过程中使用滞后指标导致预测精度较低。此外,该公司无法快速、智能地运行需求和供应场景,导致决策不理想。所有关键场景都是在电子表格中开发,效率低下且容易出错。此外,需求计划、供应计划、S&OP 和 S&OE 等关键计划流程都是在孤岛中执行的,无法将不同时间范围内的各个点连接起来。缺乏整合和可见性是公司规划过程中的一个主要障碍。
解决方案
该公司决定用 o9 取代 SAP/APO,这是一种利用基于人工智能的预测、MEIO、控制塔、LP 优化和逆向物流规划的一流技术。借助 o9,该公司能够将内部和外部需求驱动因素纳入 o9 高度差异化的机器学习预测功能中。这提高了预测准确性,减少了偏差,并为销售提供了见解。该公司还使用 o9 运行先进的需求供应匹配算法,考虑到所有可能的约束。然后将这些转化为场景,从而实现快速、智能的需求和供应规划。此外,o9 提供了一种独特的功能,可以在一个集成的云原生平台上连接所有时间范围内的所有功能和所有规划流程。 o9 企业知识图用于构建市场、需求和供应知识模型,允许在一个集成平台上跨所有时间范围运行所有类别、品牌、渠道和帐户的所有关键规划流程。
运营影响
数量效益
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