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Databricks > 实例探究 > 使用 Databricks Lakehouse 转变供应链运营
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Creating a Winning Recipe for a Hyperefficient Supply Chain: A Case Study on Barilla

技术
  • 功能应用 - 制造执行系统 (MES)
  • 功能应用 - 仓库管理系统 (WMS)
适用行业
  • 消费品
  • 零售
适用功能
  • 物流运输
  • 维护
用例
  • 预测性维护
  • 供应链可见性(SCV)
服务
  • 系统集成
  • 测试与认证
挑战
从不可预测的农作物产量到原材料成本上涨,气候变化扰乱了供应链,导致产品短缺和质量问题。巴里勒是世界上最大的面食生产商,需要采用更具可持续性和弹性的供应链战略来降低风险并保护运营利润。他们的传统本地数据仓库造成了孤岛,并阻碍了他们应对外部威胁的能力。
关于客户
Barilla 是世界上最大的面食生产商,在 90 多家工厂生产 300 多种不同的食品,并销往 100 多个国家。他们拥有多元化的生态系统,包括生产基地、原材料供应商、分销中心以及服务全球市场的数千家零售商。
解决方案
Barilla 迁移到 Databricks Lakehouse,这是一个用于数据管理和分析的集中式架构。这使他们能够提供改善其业务各个方面的见解,从提高制造绩效到简化物流和开展有针对性的营销活动。他们还实施了预测性维护、需求预测和客户细分。
运营影响
  • After transitioning to the Databricks Lakehouse Platform, Barilla has seen a dramatic shift to data-informed decisions and an immediate improvement in operational efficiency. The company uses Databricks Lakehouse end-to-end, supporting the decision-making of over 2,000 data users across the company and delivering business continuity like never before. Looking ahead, Barilla plans to continue innovations across their organization using data, analytics, and AI. They plan to extract insights from unstructured data, such as customer reviews and social media posts, to segment customers and personalize marketing efforts. Manufacturing is exploring anomaly detection and root cause analysis to identify and address unusual patterns and behaviors in manufacturing processes. Additionally, sales plans to use data insights to forecast demand and adjust production accordingly. With a modern data lakehouse platform in place, Barilla is excited about their business and delivering the highest quality products to their growing market.
数量效益
  • Over 1TB of data is ingested daily for decision-making
  • 90% of Barilla's business now runs on Databricks Lakehouse
  • Over 2,000 data users across the company are supported by Databricks Lakehouse

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