dm 成功的需求预测
公司规模
Large Corporate
地区
- Europe
国家
- Germany
产品
- Blue Yonder Demand Forecasting
技术栈
- Machine Learning
- Data Analytics
实施规模
- Enterprise-wide Deployment
影响指标
- Productivity Improvements
- Cost Savings
技术
- 分析与建模 - 预测分析
适用行业
- 零售
适用功能
- 销售与市场营销
- 物流运输
用例
- 补货预测
- 需求计划与预测
服务
- 数据科学服务
关于客户
dm 是一家经营众多商店的大型零售公司。该公司拥有复杂的供应链，涉及制造商、配送中心和个体商店。它经营的产品种类繁多，其运营受到商店营业时间、市场日和节假日等各种因素的影响。该公司旨在通过准确预测销售和需求、确保产品可用性以及高效规划员工来优化运营。
挑战
大型零售公司 dm 在运营中面临多项挑战。该公司需要改善制造商与配送中心之间的合作，以确保产品供应。它还需要为行业合作伙伴提供有效的预测。该公司正在处理商店商品的短期需求与行业合作伙伴的长期交货时间的问题。它需要做出精确的销售预测，即使在节假日或休假等特殊情况下也是如此。该公司还希望避免其商店人员过多或不足的情况。
解决方案
dm 选择 Blue Yonder 来准确预测各个商店的销售额，从而可靠地进行员工规划。预测考虑了每家商店过去 10 年的每日销售额和可调整的参数，包括营业时间。这对于尽可能准确地确定所需的员工数量是必要的。除此之外，还考虑了其他外部数据，例如即将到来的市场日或邻近州的假期。Blue Yonder 还为 dm 配送中心提供了未来六个月的精确需求预测。这确保了商店满足预期的商品供应，并优化了交货时间和制造商物流。
运营影响
数量效益
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