Mahindra & Mahindra 通过动态细分提高盈利能力
公司规模
Large Corporate
地区
- Asia
国家
- India
产品
- Blue Yonder Luminate Platform
技术栈
- Machine Learning
- Artificial Intelligence
实施规模
- Enterprise-wide Deployment
影响指标
- Cost Savings
- Productivity Improvements
技术
- 平台即服务 (PaaS) - 数据管理平台
- 分析与建模 - 机器学习
适用行业
- 汽车
适用功能
- 物流运输
用例
- 库存管理
- 供应链可见性(SCV)
服务
- 数据科学服务
关于客户
Mahindra & Mahindra 农场设备公司是市值 200 亿美元的 Mahindra 集团旗下企业。按产量计算，它是全球最大的拖拉机公司，其汽车业务几乎涉及该行业的所有领域。备件业务部门 (SBU) 通过先进的采购、装配、仓储和配送能力提供正宗的汽车和拖拉机备件。该公司不断评估科学方法来调整需求预测、库存管理和补货计划策略，以确保在正确的时间和地点提供正确的零件。
挑战
Mahindra & Mahindra 农用设备公司隶属于市值 200 亿美元的 Mahindra 集团，是全球销量第一的拖拉机公司。其汽车业务几乎涉及该行业的每个领域。备件业务部门 (SBU) 通过先进的采购、装配、仓储和配送能力提供正宗的汽车和拖拉机备件。为了最大限度地提高供应链效率和服务，Mahindra & Mahindra 不断评估科学方法来调整需求预测、库存管理和补货计划策略，以确保在正确的时间和地点提供正确的零件。然而，他们传统的、手动驱动的细分流程和工具往往导致分配效率低下、安全库存水平高和服务水平不理想。
解决方案
Mahindra & Mahindra SBU 利用 Blue Yonder Luminate 平台，该平台应用机器学习 (ML) 将备件系统地分类为独特的需求集群，并确定需求属性的重要性。其结果是内置的可视性、智能、上下文和协作工具，可提高分配效率和盈利能力。通过由 ML 提供支持的优化技术，将服务级别分配给需求集群，目标是最大限度地降低安全库存成本。此外，ML 和人工智能算法可以准确估计交货时间，并从客户服务和库存成本的角度进一步优化服务成本。SBU 无需进行手动决策，而是可以大规模分析数据，识别关键需求变量并自主优化供应链以实现指定的盈利目标。
运营影响
数量效益
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