AI-Driven Centralized A/R Operations: PrimeSource’s Digital Transformation Journey
公司规模
1,000+
地区
- America
国家
- United States
产品
- Collections Cloud
- Deductions Cloud
技术栈
- AI-powered Automation
- SAP Integration
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)
适用功能
- 商业运营
- 质量保证
用例
- 预测性维护
- 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
PrimeSource Building Products is a wholesale distributor of building materials, formed in 1990 by a merger of four companies. They operate in 36 locations in the U.S. and serve the Caribbean, Canada, Mexico, Central America, and South America. PrimeSource offers a range of building products including fasteners, roofing materials, insulation, and concrete accessories. With a revenue of $1 billion, the company has a significant presence in the wholesale distribution industry.
挑战
The PrimeSource A/R team faced significant challenges due to decentralized operations. They wanted to switch to a centralized process for better collaboration within different teams. The team faced issues with standardizing processes, lack of managerial visibility, and time-consuming collaboration. Analysts relied on SAP for collections but handled dispute management manually, leading to inefficiencies. Additionally, limited reason codes and manual data aggregation further complicated the deductions process.
解决方案
HighRadius provided PrimeSource with AI-powered Collections Cloud and Deductions Cloud solutions. These tools helped automate clerical tasks, allowing the team to focus on high-priority tasks. The Collections Cloud improved collection rules with a prioritized worklist and automated dunning and customer correspondence. This led to better productivity and streamlined processes. The Deductions Cloud increased deduction recovery through e-workflows and provided more insightful reports and dashboards. Automation also helped in aggregating claims from various sources, reducing manual efforts.
运营影响
数量效益
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