机器学习驱动的需求预测帮助蓝瓶咖啡减少浪费并提高订购准确性
技术
- 分析与建模 - 机器学习
- 分析与建模 - 预测分析
适用行业
- 食品与饮料
- 回收与废物管理
适用功能
- 采购
- 销售与市场营销
用例
- 补货预测
- 减废预测
服务
- 系统集成
- 培训
关于客户
Blue Bottle Coffee 是一家咖啡烘焙商和零售商，在美国和亚洲设有咖啡馆。他们希望优化连锁咖啡馆的糕点销售流程。
挑战
Blue Bottle 咖啡馆的糕点订单不准确，导致售空和浪费。他们需要一个预测性订购解决方案来减少食物浪费。
解决方案
Blue Bottle 和 Provectus 构建了一个由机器学习驱动的预测订购系统，该系统根据库存数据、历史销售和增长预测建议每家咖啡馆应订购多少糕点。
运营影响
数量效益
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