How ContractCube identified billing discrepancies for a Global Airport Services Operator.
The challenge
A leading global airport services operator faced significant revenue leakage due to underbilling for services rendered. This issue was driven by:
- Inaccurate service capture information, leading to missed billing opportunities.
- Complex contractual billing logics, which were inconsistently implemented.
- Manual revenue recovery processes, which were inefficient, non-exhaustive, and lacked scalability.
To address these challenges, QuantSpark deployed ContractCube, an AI-driven solution that could automate revenue recovery and identify billing discrepancies across operations in the US, Canada, UK, and Ireland.
The solution
ContractCube is an advanced AI-powered system designed to extract, match, and analyse service and billing data with unmatched accuracy.
1. Document Extraction
- Leveraged multi-modal Large Language Models (LLMs) to extract key details—such as pricing, clauses, and conditions—from contractual documents.
- Enabled automated processing of scanned PDFs, eliminating manual data entry errors and inefficiencies.
2. Service Capture Matching
- Applied natural language processing (NLP) techniques to dynamically map service records to contractual information.
- Ensured that every service provided had an accurately matched contractual counterpart for seamless billing validation.
3. Discrepancy and Revenue Leakage Identification
- Compared generated invoices against historical issued invoices to pinpoint billing discrepancies.
- Categorised discrepancies based on root causes, such as agreed price changes or billing logic inaccuracies.
- Provided actionable insights to trigger and support financial and commercial auditing investigations.
The results
By implementing ContractCube, the airport services operator achieved:
- Automated and scalable revenue recovery, reducing reliance on manual intervention.
- Enhanced billing accuracy, minimising future revenue leakage and boosting financial integrity.
- Increased auditing efficiency, enabling swift identification and rectification of underbilling issues.
With a data-driven, AI-powered approach, ContractCube empowered the operator to recover lost revenue, optimise billing processes, and improve financial oversight—creating a long-term, scalable solution for revenue assurance.
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