Harris Farm Markets 利用 DataRobot 进行需求预测
公司规模
Mid-size Company
地区
- Pacific
国家
- Australia
产品
- DataRobot
技术栈
- Artificial Intelligence
- Machine Learning
- Cloud Computing
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
- 平台即服务 (PaaS) - 数据管理平台
适用行业
- 零售
适用功能
- 物流运输
- 仓库和库存管理
用例
- 需求计划与预测
- 库存管理
服务
- 云规划/设计/实施服务
- 数据科学服务
关于客户
Harris Farm Markets 是一家家族经营的杂货零售商，专营水果和蔬菜、美味肉类、海鲜和烘焙食品。Harris Farm Markets 拥有超过 25 家实体店，旨在让澳大利亚人重新感受到美食的乐趣，每天为顾客提供大自然的馈赠。该公司在澳大利亚新南威尔士州开展业务，业务范围不断扩大。该公司经营着约 20,000 个 SKU（库存单位），同时经营的新鲜农产品子集有 1200 个。该公司寻求一种解决方案来更好地管理其易腐烂库存并满足消费者对品种和新鲜度的需求。
挑战
澳大利亚新南威尔士州的杂货零售商 Harris Farm Markets 在管理易腐烂商品库存方面面临巨大挑战，原因是野火导致供应不可预测，以及新冠疫情导致需求突然激增。该连锁店拥有 20 多家门店，业务范围不断扩大，需要一种方法来持续满足消费者对品种和新鲜度的需求。预测 20,000 个 SKU（包括同时以 1200 个 SKU 的速度运行的一组新鲜农产品）的需求任务对于手动方法来说过于繁重。该公司寻求一种解决方案，以最少的 IT 团队工作量提供准确的预测。
解决方案
Harris Farm Markets 实施了 DataRobot，这是一个人工智能和机器学习平台，用于生成准确的需求预测。该系统考虑了从季节性影响到客户数量等各种数据点。DataRobot 最初上线时拥有大约 100 个人工智能模型，主要专注于新鲜农产品的需求预测。这些模型的预测被输入到 Harris Farm 一直在使用的定制买家应用程序中。评分管道设置为根据前一天的数据，每晚在两小时内自动运行。几个月后，Harris Farm 对模型进行了调整，以针对商店进行部署，例如，允许连锁店关闭正在装修的商店的部署。
运营影响
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