OTTO 的补货和价格优化
公司规模
Large Corporate
地区
- Europe
国家
- Germany
产品
- Blue Yonder Demand Forecast & Replenishment
- Blue Yonder Price Optimization
技术栈
- Artificial Intelligence
- Machine Learning
- Data Analytics
实施规模
- Enterprise-wide Deployment
影响指标
- Cost Savings
- Revenue Growth
- Productivity Improvements
技术
- 分析与建模 - 预测分析
- 分析与建模 - 实时分析
适用行业
- 零售
- 电子商务
适用功能
- 销售与市场营销
- 商业运营
用例
- 需求计划与预测
- 库存管理
服务
- 数据科学服务
- 系统集成
关于客户
OTTO 是一家总部位于汉堡的德国多渠道零售商，通过不断调整业务流程和重新定位企业，成功地从传统的邮购零售商转型为在线零售商。在线商店 (www.otto.de) 是该零售商业务的重点，占其 25 亿欧元以上年销售额的 90%（2015/16 财年）。该公司提供各种产品，包括时尚产品、技术产品、家具、体育用品、鞋子和玩具。在线商店拥有约 6,000 个品牌和超过 220 万件商品，其中包括零售合作伙伴销售的 100 多万件商品。
挑战
OTTO 是一家德国多渠道零售商，其面临的挑战是利润低、竞争压力大、市场条件和客户需求瞬息万变。该公司需要平衡其广泛产品组合中每件商品的产品供应量和定价。最大的挑战之一是提前预测商品的销量，因为商品的盈利性决定了整体的成功。OTTO 还面临着缩短合作伙伴产品交货时间的挑战，由于物流流程更复杂，合作伙伴产品的交货时间比 OTTO 自有品牌更长。零售商需要知道哪些商品会畅销、销售频率如何、尺寸和数量，以便根据预测提前订购合适的商品并加快交货给客户。
解决方案
OTTO 与 JDA 旗下公司 Blue Yonder 合作，实施 AI 解决方案，通过基于数据洞察做出战略决策来改善客户体验、提高销售额、降低库存水平并减少退货。Blue Yonder 的商品销售预测已成为 OTTO 运营业务流程的固定组成部分，根据数百种不同的输入变量，提供每种颜色和尺寸的最新预测。Blue Yonder 的需求预测和补货解决方案用于 OTTO 中央配送中心与精选品牌合作伙伴的商品规划。该解决方案评估了大约 30 亿笔交易，包括销售、价格和库存，并提前提供机器驱动的订购决策。Blue Yonder 价格优化用于根据所选价格策略为每种产品找到“理想”价格。该解决方案检查并衡量价格变化与需求模式之间的联系，并根据多个价格-数量对，可以确定每件商品的价格弹性。
运营影响
数量效益
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