Globus CR 专注于通过机器学习驱动的自动化实现价值
公司规模
1,000+
地区
- Europe
国家
- Czech Republic
- Germany
- Luxembourg
- Russia
产品
- Luminate Demand Edge
- Luminate Store Fulfilment
技术栈
- Machine Learning
实施规模
- Enterprise-wide Deployment
影响指标
- Cost Savings
- Productivity Improvements
技术
- 分析与建模 - 预测分析
适用行业
- 零售
适用功能
- 物流运输
- 仓库和库存管理
用例
- 补货预测
- 供应链可见性(SCV)
服务
- 数据科学服务
关于客户
Globus CR 隶属于 Globus 集团，该集团拥有 18,500 名员工，业务遍及三个国家。除了在德国拥有 47 家大卖场、91 家 DIY 商店和 6 家电子产品商店外，Globus 集团还在捷克共和国拥有 15 家全系列商店，在俄罗斯拥有 15 家全系列商店，在卢森堡拥有 2 家 DIY 商店。该公司的市场环境极其依赖促销和价格。他们的供应链管理策略面临挑战，特别是在促销和库存补充方面。由于数据洞察和规划活动分布在业务的不同部分，该公司还难以将促销剩余和缺货保持在合理水平。
挑战
Globus CR 隶属于格洛布斯集团，业务范围覆盖三个国家，在德国共有 47 家大卖场、91 家 DIY 商店和 6 家电子产品商店，在捷克共和国有 15 家全系列商店，在俄罗斯有 15 家，在卢森堡有 2 家 DIY 商店。该公司的供应链管理策略面临挑战，特别是在促销和库存补充方面。他们所处的市场环境极度依赖促销和价格，其促销计划流程是手动且繁琐的。这导致促销后库存积压严重，计划和处理成本高昂。劳动力成本的上涨推动了对自动化的需求。由于数据洞察和计划活动分布在业务的不同部分，该公司还难以将促销积压和缺货情况维持在合理水平。
解决方案
Globus CR 与 Blue Yonder 合作实施了 Luminate Demand Edge 和 Luminate Store Fulfilment。这些解决方案帮助该公司实现了更高的促销预测准确性以及更加需求驱动、自动化和集中化的促销计划和补货流程。借助 Luminate Demand Edge，Globus CR 能够通过纳入数百个额外的需求影响因素来开发超越传统确定性预测算法的高精度预测。该公司成功地从基于商店的手动促销流程转变为面向未来的集中式自动化流程，以实现更大的价值并更有效地服务客户。Globus 和 Blue Yonder 的联合团队特别专注于管理由 ML 驱动的自动化带来的变化，同时跟踪相关的 KPI 改进。
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