人工智能定价助力零售商 bonprix 提高收入和利润
公司规模
Large Corporate
地区
- Europe
国家
- Germany
- Russia
产品
- Luminate Platform
技术栈
- AI/ML-based technology
实施规模
- Enterprise-wide Deployment
影响指标
- Revenue Growth
- Productivity Improvements
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
用例
- 需求计划与预测
服务
- 数据科学服务
关于客户
Bonprix 是一家国际时装零售商，隶属于 OTTO 集团。该公司在德国和其他 30 个国家/地区经营在线商店，提供五个自有品牌。该公司面临着定价和促销系统过时的挑战，尤其是在竞争激烈的俄罗斯市场。许多产品的高价导致成本上升和利润下降。为了实现内部流程的现代化并满足复杂多变的市场需求，bonprix 需要一个自动化解决方案，以便针对不同国家/地区使用不同的参数进行一致且细致的价格优化。
挑战
国际时尚零售商 bonprix 一直苦于使用过时的定价和促销系统，使用僵化的价格转换表。该公司在竞争激烈的俄罗斯市场面临许多产品价格高昂的问题，导致成本上升和利润下降。为了实现内部流程的现代化并满足复杂多变的市场需求，这家德国在线商店需要一个自动化解决方案，以实现一致且细致的价格优化，并针对不同国家/地区设置不同的参数。由于 30 个国家/地区有 5 个自有品牌，因此解决方案必须无缝且有效。
解决方案
Bonprix 在俄罗斯试用了 Luminate 平台，进行了为期 4 个月的试用，以评估软件功能。测试很快证明，AI/ML 软件算法会随着时间的推移而自我改进，无需任何人工干预。因此，虽然价格优化在短时间内带来了可衡量的影响和投资回报，但结果可能会进一步改善。凭借大量数据，bonprix 的采购部门可以成功优化和管理价格设置，从而使该组织能够战略性地引导每个市场。如今，bonprix 已将 Luminate 解决方案应用于所有相关市场，并且在所有关键绩效指标 (KPI) 方面都看到了积极的变化。
运营影响
数量效益
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