Luminate™ Retail 助力 Ernsting's family 提高销售额和利润
公司规模
Large Corporate
地区
- Europe
国家
- Austria
- Germany
产品
- Luminate™ Retail
技术栈
- Artificial Intelligence
- Machine Learning
实施规模
- Enterprise-wide Deployment
影响指标
- Productivity Improvements
- Revenue Growth
技术
- 分析与建模 - 机器学习
- 分析与建模 - 大数据分析
适用行业
- 零售
适用功能
- 销售与市场营销
用例
- 补货预测
- 零售店自动化
服务
- 数据科学服务
关于客户
Ernsting's family 是德国最大的跨渠道零售商之一。该公司在德国和奥地利拥有 1,800 多家门店。他们经营的产品种类繁多，以快速的上架周期而闻名，每两天就会有新库存到货。由于网上商店和数字化的兴起，该公司面临着保持不同产品系列销售水平一致的挑战。他们需要一个战略解决方案来优化定价和促销，以便在指定时间内快速销售新产品，同时提高利润。
挑战
Ernsting's family 是最大的跨渠道零售商之一，在维持不同产品系列的稳定销售水平方面面临挑战。这家总部位于德国的公司还面临着由于网上商店和数字化的兴起而导致的市场巨变。传统的季节性周期让位于更快的潮流和短暂的月度系列，迫使每两天就有新库存到货。该公司在德国和奥地利拥有 1,800 多家门店，需要一种更具战略性的方式来优化定价和促销，以便在指定时间内快速销售新系列，同时提高利润。
解决方案
为了探索人工智能 (AI) 和机器学习 (ML) 解决方案的可能性，Ernsting 家族与 Blue Yonder 合作开展了一项为期 5 个月的试点项目。他们在 50 家实体店中使用 Luminate Retail（一种强大的下一代供应链数字履行平台）来测试其功能。借助人工智能和机器学习，在单个商店和商品层面收集和分析了大量数据，以及库存和订单数据，以提供自动定价决策。在测试阶段，降价的频率更高，而且在产品生命周期的早期进行，但幅度较小。该解决方案后来于 2018 年 5 月在其德国和奥地利的所有商店以及在线商店的整个产品系列中推出。
运营影响
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