石油和天然气数字化转型：库存优化和预测案例研究
技术
- 功能应用 - 库存管理系统
- 平台即服务 (PaaS) - 应用开发平台
适用行业
- 石油和天然气
- 运输
适用功能
- 物流运输
- 仓库和库存管理
用例
- 库存管理
- 拣选/分拣/定位
服务
- 系统集成
关于客户
该客户是全球最大的上市国际石油和天然气公司之一。该公司正在努力应对数据挑战、缺乏库存可见性以及低效的规划流程。该公司的数据结构复杂且无组织，导致缺乏单一事实来源。该公司的预测过程主要是手动的，导致库存水平很高。该公司更注重执行而不是计划，导致大量的日常数量管理和救火工作。
挑战
世界上最大的国际石油和天然气上市公司之一正在努力应对高度手动和 Excel 驱动的规划流程。该公司面临着重大的数据挑战和缺乏库存可见性。数据结构复杂且无组织，使得公司很难掌握所有数据和流程的概览。这导致缺乏单一事实来源。此外，该公司的预测准确度较低，预测过程严重依赖人工、滞后指标。这导致库存水平过高。该公司的重点更多地放在执行而不是规划上，导致大量的日常数量管理和救火工作。
解决方案
该公司与 o9 合作应对这些挑战。 o9 提供了一种独特的功能，可以在集成的、单一事实来源的云原生平台上全面了解销售、库存和供应链规划。这帮助该公司简化了数据和流程。此外，o9 通过将内部和外部需求驱动因素纳入 o9 高度差异化的机器学习预测功能，帮助该公司优化和降低库存水平。这显着提高了公司的预测准确性。此外，所有规划流程均在 o9 平台中进行管理，从而为公司腾出时间来启动中期规划并专注于其他战略优先事项。 o9 企业知识图用于构建需求、库存优化和供应知识模型。这允许在单个集成平台上运行整个流程，而无需进一步集成。
运营影响
数量效益
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