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Switching to Automation: Hershey’s Kroger's Deductions Automatic Resolution Story
技术
- 功能应用 - 企业资源规划系统 (ERP)
- 分析与建模 - 预测分析
- 应用基础设施与中间件 - 数据交换与集成
适用行业
- 食品与饮料
适用功能
- 商业运营
- 质量保证
用例
- 过程控制与优化
- 远程协作
服务
- 软件设计与工程服务
- 系统集成
挑战
The company faced major issues due to the increasing number of deductions that was being faced by their industry. Reports from A Credit Research Foundation survey showed that more than 65% respondents faced this issue. This meant a huge loss in productivity and overall efficiency of the team for Hershey’s. They received 42,225 Trade Deductions in 2019, and about 12,000 in just a week. This meant a huge sum of work for their teams to go through manually. The company wanted a system where they could seamlessly integrate with their Trade Promotion Management System. They wanted to incorporate a uniform system and establish a single source of truth for all the stakeholders to ensure faster resolutions. The main goal of Hershey’s was to reduce the amount of time their analysts spent on resolving these claims, and they needed an automated system so that they could free up their work force for higher value tasks and boost productivity.
关于客户
Founded in 1894, The Hershey Company, commonly known as Hershey's, is an American multinational company and one of the largest chocolate manufacturers in the world. It also manufactures baked products, such as cookies, cakes, milk shakes, drinks and many more that are produced globally. Hershey's chocolate is available across the United States, and in over 70 countries worldwide and employs a workforce of more than 18,000 people. They have 7 manufacturing branches worldwide.
解决方案
Through the usage of the HighRadius Deduction Cloud Solution, Hershey’s was able to auto-capture backup documents using Claims and POD Aggregation Engine. The robust claims and POD aggregation engine helped to auto-capture backup documents from various sources such as TPM, carrier portals, customer portals, and consolidate them in a single platform for the analysts to review. The deduction teams could reduce the overall resolution cycle by leveraging AI-based dispute validity prediction to identify the invalid deductions upfront. Recommendations on resolution led to faster decisions and lower write-offs. A structured workflow and collaboration engine ensured streamlined inter-department collaboration and faster approvals. The automated correspondence helped interact with customers and capture information from them.
运营影响
数量效益
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