Case Studies AI-DRIVEN O2C TRANSFORMATION : 76% Efficiency Gain in Average Days to Resolve Deductions
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AI-DRIVEN O2C TRANSFORMATION : 76% Efficiency Gain in Average Days to Resolve Deductions

Analytics & Modeling - Predictive Analytics
Functional Applications - Enterprise Resource Planning Systems (ERP)
Platform as a Service (PaaS) - Data Management Platforms
Consumer Goods
Business Operation
Quality Assurance
Process Control & Optimization
Remote Asset Management
Cloud Planning, Design & Implementation Services
System Integration
Training
Duracell faced significant challenges in their Accounts Receivable (A/R) processes, particularly in cash application, collections, and deductions. The manual processing of remittances and payments was time-consuming, and the deduction coding process was heavily reliant on manual labor. Additionally, there was low visibility into the payment status of customers, leading to confusion among teams. The lack of ability to add extra customer information into invoices and the manual data extraction from web portals further complicated the process. Duracell also struggled with visibility into the resolution time for deductions, and the manual collaboration and aggregation of backup for trade deductions caused delays. The company sought to free up their analysts, increase process visibility, and establish a better workflow to target customers more effectively.
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Duracell Inc. is an American manufacturing company known for producing batteries and smart power systems. Owned by Berkshire Hathaway, Duracell has a rich history of innovation and quality. The company was previously owned by Procter & Gamble (P&G) until its acquisition by Berkshire Hathaway in 2016. Duracell's headquarters are located in Bethel, Connecticut, U.S. The company operates on a global scale and generates a revenue of $1.6 billion. Duracell's recent acquisition by Berkshire Hathaway brought significant changes, including the outsourcing and subsequent insourcing of their main Accounts Receivable (A/R) operations. The company also transitioned to a new ERP system, which initially required manual processing on SAP. Duracell's commitment to innovation and efficiency drives its continuous efforts to improve its operational processes.
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Duracell implemented the HighRadius Cloud Solution to address their A/R challenges. The solution enabled auto-extraction of remittances from various sources without manual intervention and auto-linking of payments with open invoices. Automated deduction coding ensured accuracy and efficiency. The robust claims and Proof of Delivery (POD) aggregation engine helped auto-capture backup documents from sources like TPM, carrier portals, and customer portals, consolidating them on a single platform for analysts to review. A structured workflow and collaboration engine streamlined inter-department collaboration and expedited approvals. Automated correspondence facilitated efficient customer interactions and information capture. The seamless integration with Duracell's existing ERP system ensured easy deployability and minimal disruption to ongoing operations.
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The implementation of the HighRadius Cloud Solution led to significant operational improvements for Duracell. The auto-extraction of remittances and auto-linking of payments with open invoices eliminated the need for manual intervention, freeing up analysts to focus on more strategic tasks. The automated deduction coding process ensured accuracy and reduced the time spent on manual coding. The robust claims and POD aggregation engine consolidated backup documents from various sources, providing a single platform for analysts to review, which streamlined the process and improved efficiency. The structured workflow and collaboration engine facilitated better inter-department collaboration and faster approvals, enhancing overall productivity. Automated correspondence improved customer interactions and information capture, leading to better customer satisfaction.
76% efficiency gain in average days to resolve deductions.
60% savings in employee resource costs.
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