The AI Advantage: Reducing Revenue Leakages and Maximizing Cash Flow for a Global Retailer

Challenges

A global leader in the retail and consumer goods sector was facing severe financial leakage, losing approximately $300 million annually due to inefficiencies in its Order-to-Cash (O2C) process.

Their key challenges included:

  • Poor clean cash performance, with high instances of claim errors causing delayed payments and cash flow disruption.
  • Increased patient billing errors and excessive agent time spent on rework and claim resubmissions
  • High volume of claim denials and non-payment incidents, leading to revenue erosion and operational inefficiencies
  • Lack of proactive mechanisms to predict, prevent, and manage denials upstream in the process.
  • Ascendion engineered a comprehensive AI-led control framework to optimize claims management and cash performance:

    Built predictive models using denials data to identify likely root causes upstream in the workflow before billing

    Deployed an automated worklist engine that flagged claims with high denial probability, prioritized investigations, and tracked claim progress

    Introduced process best practices and standardization methodologies to elevate staff effectiveness and minimize manual errors

    Embedded continuous learning loops to refine denial prediction accuracy and proactively guide adjustments before claim submission

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    Business Impact

    Resolved 40% of claims proactively by predicting potential denials and enabling corrective actions before submission

    Improved claim submission quality, significantly reducing rework effort from 60% down to10%

    Automatically flagged 80% of claims with documentation issues, accelerating error resolution and minimizing non-payment risks

    Reduced annual revenue loss by60% - curbing financial leakage from $300M to $120M within the first year of implementation

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