Alteryx > 实例探究 > 预测性供应链分析:提高 Armor Express 的效率

预测性供应链分析:提高 Armor Express 的效率

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技术
  • 分析与建模 - 预测分析
  • 平台即服务 (PaaS) - 应用开发平台
适用行业
  • 电子商务
  • 设备与机械
适用功能
  • 采购
  • 仓库和库存管理
用例
  • 添加剂制造
  • 制造过程模拟
服务
  • 数据科学服务
关于客户
Armor Express 是防御装甲系统的领先设计商、制造商和供应商。他们从世界各地的不同供应商那里采购零部件,为紧急服务和武装部队制造救生设备。
挑战
对于 Armor Express 来说,如果没有正确的数据,将原材料订单与客户履行情况相匹配可能是一项重大挑战。它可能会面临采购过度或采购不足以及不必要的过长交货时间的风险。
解决方案
Armor Express 实施了用于预测数据分析的 Alteryx 平台。他们构建了工作流程来识别当前的未结订单并制定可靠的未来策略。他们还创建了预测模型,将产品 SKU 数据与客户订单和制造产量相结合。该平台根据数千个变量提供准确的预测,并与 Microsoft Power BI 集成以实现轻松的数据可视化。
运营影响
  • The implementation of predictive analytics has brought about significant operational improvements for Armor Express. The company has been able to make educated guesses about demand and adjust the supply chain accordingly. For instance, if a product line is discontinued, the predictive model can predict which products customers will choose instead. This has helped the company cut $500,000 of inventory from day one. Furthermore, with predictive analytics now doing the heavy lifting, the company has been able to improve order lead times, maintain excellent customer relationships, and even win new business from competitors. The company's suppliers have also noticed the difference, with one commenting that Armor Express now provides the best model and buy plan in the industry.
数量效益
  • $500,000 saved through inventory optimization
  • Thousands of data points analyzed for accurate forecasting
  • Significant improvement in supplier and customer service

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