利用 IBM Analytics 协调销售、营销、供应链和运营，以提高市场份额
公司规模
Large Corporate
地区
- Pacific
国家
- Australia
产品
- IBM Cognos Express
技术栈
- IBM Cognos Express
实施规模
- Enterprise-wide Deployment
影响指标
- Productivity Improvements
- Cost Savings
技术
- 分析与建模 - 实时分析
适用行业
- 汽车
适用功能
- 销售与市场营销
- 物流运输
用例
- 供应链可见性(SCV)
- 需求计划与预测
服务
- 数据科学服务
关于客户
日产澳大利亚公司是一家进口、营销和销售日产汽车的公司。该公司专注于轻型商用车 (LCV)、运动型多用途车 (SUV) 和乘用车领域。日产澳大利亚公司的目标是在澳大利亚每年销售的约 110 万辆新车中占据相当大的市场份额。该公司根据其希望在其参与竞争的每个汽车类别中实现的市场份额设定目标。然后，它规划所谓的“汽车流程”——订购、进口和将汽车交付到全国各地的经销商的过程——以实现这些目标。
挑战
日产澳大利亚公司是一家进口、营销和销售日产汽车的公司，它面临着一项复杂的挑战，即协调进口数千辆不同型号、等级、颜色和配置的汽车，以满足不同地区不同的客户需求。该公司的汽车流量规划流程以传统规划工具为中心，辅以电子表格。使用电子表格使得版本控制变得困难，这是一个特别的问题，因为公司的汽车流量在不断发展。该公司需要一个更复杂的业务规划平台来升级其汽车流量预测流程。
解决方案
日产澳大利亚决定通过采用更复杂的业务规划平台来升级其汽车流量预测流程。该公司与专门从事绩效管理和分析解决方案的 IBM 高级业务合作伙伴 Cornerstone 合作，基于其 ERP 系统的数据构建了一个基本的汽车流量模型作为概念验证。该项目的成功有助于为全面部署建立业务案例。新的 IBM Cognos Express 汽车流量模型使日产澳大利亚能够更详细地了解每辆车的所有不同等级、所有颜色，甚至每辆车的进口日期。车辆的生产月份对于帮助公司在发生货币波动时保持其损益预测的准确性至关重要。
运营影响
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