About the Client:
The client is a mid-sized U.S.-based insurance company managing high transaction volumes across multiple merchants. They rely on merchant data for underwriting, claims, and compliance. However, data inconsistencies caused delays, compliance risks, and operational inefficiencies, impacting their overall performance.
Challenges:
- Inaccurate data led to compliance risks and regulatory exposure.
- Duplicate and mismatched records caused billing errors and revenue leakage.
- Fraud detection was ineffective due to inconsistent transaction data.
- High costs from manual reconciliation and corrections.
- Delayed business insights due to unreliable reporting tools.
Solution (Teaser):
We implemented an AI and ML-driven solution to automate data corrections, standardize merchant data, and improve fraud detection. The solution eliminated inefficiencies, reduced costs, and ensured accurate insights.
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