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Automating Commission Calculation for SMEs: A Case Study on Incentiv
技术
- 应用基础设施与中间件 - 事件驱动型应用
适用行业
- 建筑物
- 水泥
适用功能
- 销售与市场营销
用例
- 楼宇自动化与控制
- 库存管理
挑战
Incentiv 由德勤前管理顾问 Matthew Haller 创立，他发现了商业管理应用领域的一个重大问题。他注意到许多公司花费数百万美元购买定制解决方案来支持他们的销售团队，但由于业务策略的变化而在这些解决方案上线之前就放弃了。这种浪费且低效的流程在中小型企业的佣金计算领域尤其普遍。这些公司需要一种方法来自动化佣金计算过程，提供对代表收入的实时洞察，组织所有销售合同，并自动提供有关佣金预算支出的洞察和分析。
关于客户
Incentiv 的主要客户是需要自动化佣金计算流程的中小型企业。这些企业通常缺乏开发定制解决方案的资源，并且正在寻找经济高效、高效且用户友好的解决方案。他们需要实时洞察代表收入、有组织的销售合同，以及有关佣金预算如何支出的自动洞察和分析。 Incentiv 的客户非常看重应用程序设置过程的简单性（只需上传两个文件）以及处理佣金的速度。
解决方案
为了应对这一挑战，Haller 创建了 Incentiv，这是一款可以自动化中小型公司整个佣金计算流程的应用程序。该应用程序的设计宗旨是用户友好且高效。新客户只需上传两个文件 - 一个用于用户访问/权限，另一个包含每个用户的付费/配额信息。然后，Incentiv 客户成功团队根据公司的具体计划配置系统后端。从那里，处理佣金就像上传交易报告一样简单，这个过程可以在 30 分钟内完成。该应用程序基于 Bubble 构建，该平台允许 Haller 快速构建复杂的应用程序、测试 UI、使用不同的数据模型并连接到现有基础设施。
运营影响
数量效益
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