效益
达到
4%
库存减少
达到
40%
效率提升
达到
20%
配货准确性提升
配补货
Make distribution decisions that align with the merchant strategy and localized demand to achieve (visual standards), maximize revenue and increase customer satisfaction.
Reduce the need to manually perform day-to-day distributions, freeing up resources to focus on strategic decisions.
Configure methodologies for investment optimization leveraging AI/ML with variable business strategies throughout the products lifecycle.
Ingest hundreds of demand-driving variables and use machine learning to provide a unique demand projection with calculated business impact and risk.
Stage the right inventory throughout your distribution network, minimizing stock-outs, while maximizing inventory turns in your supply chain.
Blue Yonder助您激发库存潜能
提升配货的准确性
利用AI和ML深入到更细的颗粒度，在规划过程中做出精确的、数据驱动的决策。
盈利能力最大化
将人工智能驱动的客户洞察转化为战略库存移动和补货，从而减少整个组织的总体安全库存。
提高客户满意度
制定与商家战略和本地化需求相一致的分销决策，从而实现有利可图的库存布局决策和更高的客户满意度。
基于异常的自动配货过程
减少手动修改的需要，节省资源，让决策者腾出时间专注于其他任务，让你保持领先地位。
提高生产率
通过有效的库存计划执行，您的组织将有能力在更短的时间内进行和管理复杂的配货和补货。
提高客户满意度
制定与商家战略和本地化需求相一致的分销决策，从而实现有利可图的库存布局决策和更高的客户满意度。
“Now our customers are finding that just the right sizes are available for them whenever they shop in our stores. We’ve achieved our goal for constant improvement by increasing profits and customer satisfaction by understanding our business needs and translating them into a data-driven model for recommending pricing changes.”
Director of Merchandise Planning, KappAhl
