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Enterprise AI for HealthTech: Streamlining Supply Chain Operations
技术
- 分析与建模 - 机器学习
- 功能应用 - 库存管理系统
适用行业
- 教育
- 设备与机械
适用功能
- 物流运输
- 仓库和库存管理
用例
- 数字孪生
- 供应链可见性(SCV)
服务
- 数据科学服务
挑战
纵观其悠久的历史，该公司通过许多战略收购实现了有机增长。
IT 的高度复杂性阻碍了公司获得关键业务洞察力和回答问题的能力，例如
- 应该优先考虑哪些产品线/SKU 以帮助缩短交货时间？
- 零件或产品在供应链的哪个环节卡住了（即“惰性库存”）？
- 为了最大化每个产品线/SKU 的 OTIF，跨配送中心的最佳库存分配是什么？
虽然这些挑战在正常的业务过程中是显着的，但在 COVID-19 大流行高峰期它们成为关键问题。
客户
未披露
关于客户
该公司是全球健康科技的领导者，在全球超过 35 家工厂生产产品，并通过广泛的生产和配送中心网络向全球客户运送产品。
解决方案
C3 AI 团队首先针对公司呼吸机产品的库存可见性挑战。在短短 4 周内，C3 AI 为 HealthTech 公司为应对 COVID-19 大流行而向全球医院交付的 42 个关键呼吸机 SKU（库存单位）配置了 C3 AI 供应网络风险应用程序。
该团队首先在 C3 AI 供应链数字孪生上统一不同的供应链数据。利用统一的数据图像，C3 AI 团队在 C3 AI Supply Network Risk 应用程序上配置了五个仪表板，为最终用户提供整个供应链的全球实时视图。
C3 AI Supply Network Risk 与 HealthTech 公司和 C3 AI 的真正跨职能团队合作成功配置并部署到生产中。
运营影响
数量效益
相关案例.
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