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3288 - 规模化盈利的订单管理系统前景广阔:人工智能_机器学习的实际应用.pdf

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1、Orlando,FLOctober 69IBM TechXchange 2025Session 3288Sankha DasUlta Beauty Inc.Ulta Beauty Inc.,Sr Director,Enterprise ApplicationsSubhra SinhaIBM Corp.IBM Corp.,Product ManagerProfitable OMS Promising at Scale:AI/ML in ActionAgenda010203040506Why were here todayVision&MissionOur Journey So farLookin

2、g Ahead-UltaThe Next Chapter-IBMQ&AIBM TechXchange|2025 IBM CorporationWhy were here todayExpand beyond post-purchase cost reduction to pre-purchase cost preventionProfitable outcomes through post-purchase fulfillment decisions using AI/MLFulfillment profitability under significant pressure from con

3、sumer expectationsIBM TechXchange|2025 IBM Corporation3Vision&MissionDeliver beauty and wellness to all with excellence.IBM TechXchange|2025 IBM Corporation4Vision&MissionDeliver beauty and wellness to all with excellence.IBM TechXchange|2025 IBM Corporation5Fulfillment ExperienceSpeed&ReliabilityEx

4、panded OfferingsOmnichannel InventoryOptimizationOptimize Ulta Beautys fulfillment network at every step to elevate guest experience.Ultas journeyProtecting the retail experience while unlocking inventory for omnichannel guests in a profitable mannerTraditional rule-based sourcingShipping from store

5、 expansionBusiness Objectives drivenShipping costProcessing cost Balance load across networkStockout avoidancePredict stockout risk from sales probability and smartly source SKUs to preserve in-store inventory.Markdown avoidancePredict markdown risk and smartly source SKUs to maximize full-price sal

6、es and profit.Dynamic Safety StockSafety stock,set at node,network,or node type level,can be a fixed quantity or percentage to cover walk-in demand and demand variability.IBM TechXchange|2025 IBM Corporation6EDD at PDPBuilds customer trust and purchase confidence by showing product availability and

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根据报告的内容,全文主要内容概括如下: - **目标与愿景**:Ulta Beauty致力于通过卓越的服务提供美妆和健康产品。 - **业务挑战**:在满足消费者期望的同时,优化库存管理和降低成本。 - **关键策略**: - 利用AI/ML优化库存,预防缺货和降价风险。 - 实施智能安全库存,提高库存效率。 - 通过KPI驱动的优化,提升订单交付时间和降低运输成本。 - **技术进步**: - 引入AI自动化复杂流程,提高决策准确性。 - 使用微服务架构实现技术卓越和可扩展性。 - 通过低代码/无代码平台实现快速配置和集成。 - **未来展望**: - 利用供应链数据提升决策。 - 向云无关架构过渡,提高性能和减少依赖。 - 通过AI实现自动化库存管理和渠道优化。
"AI赋能,库存优化?" "Ulta如何用AI提升顾客体验?" "供应链数据,决策利器?"
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