实例探究 > Dealing with Increasing DSO and Dispute Volumes with Artificial Intelligence

Dealing with Increasing DSO and Dispute Volumes with Artificial Intelligence

公司规模
1,000+
地区
  • America
国家
  • United States
产品
  • Cash Application Cloud
  • Deductions Cloud
技术栈
  • AI-based Remittance Prediction
  • Multi-OCR Engine
  • Intelligent A/R Matching Engine
实施规模
  • Enterprise-wide Deployment
影响指标
  • Cost Savings
  • Customer Satisfaction
  • Productivity Improvements
技术
  • 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
  • 功能应用 - 企业资源规划系统 (ERP)
适用行业
  • 服装
适用功能
  • 商业运营
  • 质量保证
用例
  • 补货预测
  • 过程控制与优化
  • 远程资产管理
服务
  • 软件设计与工程服务
  • 系统集成
关于客户
Komar, established in 1908, is a manufacturing and distribution apparel company with a diverse portfolio of owned, licensed, and private label brands. The company operates on a global scale, distributing apparel through Komar Distribution Services. With a revenue of $250 million, Komar has a significant presence in the wholesale distribution industry. The company faced challenges in managing cash application and deductions due to its extensive international distribution network.
挑战
Komar, a global apparel distribution company, faced significant challenges in managing cash application and deductions on a massive scale. The A/R teams worked in silos, leading to blocked orders and negative customer experiences. Inefficient deductions processes caused bottom-line erosion and reduced employee productivity. The manual cash application process increased costs and delayed cash processing, resulting in higher DSO and negatively impacting downstream processes.
解决方案
HighRadius provided Komar with cloud solutions to automate cash application and deductions processes. The Cash Application Cloud leveraged AI to apply cash swiftly, increasing analysts' productivity. It featured multi-OCR Engine auto-captures for accurate remittance data and automated cash posting. The Deductions Cloud automated deduction coding and dispute management, reducing research time and enabling smarter dispute resolutions. The solution also predicted deduction validity and facilitated collaborative workflows for tracking and approval.
运营影响
  • 87% increase in analyst productivity due to automated cash application and deduction processes.
  • Record time processing of cash and resolving disputes, enhancing overall efficiency.
  • Cost savings achieved through headcount reallocation, optimizing resource utilization.
  • Enhanced visibility into A/R reporting, providing better insights for decision-making.
  • Improved customer satisfaction by reducing blocked orders and streamlining A/R processes.
数量效益
  • 87% increase in analyst productivity.

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