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Optimize claims & reduce spend through warranty analytics（通过保修分析优化索赔并降低支出）

Industry Sector: Transportation

Business Function: Operations

A major railroad struggled to recoup costs for parts failing under warranty due to the complex web of parts, claims, and contractual coverage.

Using Palantir Foundry, the procurement team has a complete virtual view of each locomotive part, can identify all parts that failed while covered by a warranty, and runs the claim management process at scale and efficiently.

Challenge

A major railroad was replacing over 5,000 locomotive parts per week, representing a significant portion of its annual maintenance budget. The scale of the operations and the uniqueness of warranty coverages for each part category and each supplier made it difficult for the procurement team to get compensated for all parts that failed while under warranty.

Solution

  • Parts 360 -- Foundry generates an integrated picture from financial and operational systems to provide a unified view of each part throughout its lifecycle: Purchasing → storage → installation → failure(s) → removal.
  • Rules Workflow -- Foundry's Alerting Framework automatically analyzes parts against all applicable warranty terms to identify warranty opportunities. A rules management application enables business users to actively manage complex business logic in Foundry through a point and click interface.
  • Warranty Claims Management -- Analysts efficiently run the warranty claims process -- from opportunities identified to money recovered -- by connecting to the rules workflow and the Parts 360 views.
  • Native ERP Connector -- The organization achieved rapid time to value via Foundry’s ERP Connector, which automatically models disparate data and provides seamless read and write to underlying ERP systems out of the box.

Optimize Claims & Reduce Spend through Warranty Analytics

Users and stakeholders

  • Claims analysts
  • Data Scientists (to develop rules for alerting)

Impact

  • $20M+ recovered per year through new warranty claims.
  • 3x increase in warranty opportunity (finding a part that failed while under warranty) identified.
  • 13% reduction in locomotive material spend annually.

Implement a similar use case

This use case implements the following Pattern. Follow the link below to read more about a particular Pattern and learn how it is implemented within Foundry.

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中文翻译

通过保修分析优化索赔并降低支出

行业领域：交通运输

业务职能：运营

某大型铁路公司因零件、索赔及合同覆盖范围的复杂网络，难以追回保修期内故障零件的成本。

借助 Palantir Foundry，采购团队能够全面掌握每个机车零件的虚拟视图，识别所有在保修期内发生故障的零件，并高效、规模化地运行索赔管理流程。

挑战

某大型铁路公司每周更换超过 5,000 个机车零件，这占其年度维护预算的很大一部分。由于运营规模庞大，且每个零件类别和每个供应商的保修条款各不相同，采购团队难以就所有在保修期内发生故障的零件获得赔偿。

解决方案

  • 零件全景视图 (Parts 360) —— Foundry 从财务和运营系统生成整合视图，提供每个零件在整个生命周期中的统一视图：采购 → 存储 → 安装 → 故障 → 拆除。
  • 规则工作流 (Rules Workflow) —— Foundry 的告警框架 (Alerting Framework) 自动根据所有适用的保修条款分析零件，识别保修机会。规则管理应用程序使业务用户能够通过点击式界面在 Foundry 中主动管理复杂的业务逻辑。
  • 保修索赔管理 (Warranty Claims Management) —— 分析师通过连接规则工作流和零件全景视图，高效运行保修索赔流程——从识别机会到追回资金。
  • 原生 ERP 连接器 (Native ERP Connector) —— 该组织通过 Foundry 的 ERP 连接器快速实现价值，该连接器自动建模异构数据，并开箱即用地提供对底层 ERP 系统的无缝读写功能。

通过保修分析优化索赔并降低支出

用户与利益相关者

  • 索赔分析师
  • 数据科学家（用于开发告警规则）

影响

  • 通过新的保修索赔每年追回超过 2,000 万美元。
  • 保修机会（发现保修期内故障零件）识别量提升 3 倍。
  • 机车材料支出每年减少 13%。

实施类似用例

本用例实现了以下模式。点击下方链接可了解更多关于特定模式的信息，以及如何在 Foundry 中实施该模式。

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