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ContractCube: The AI-driven system that identified $3.5m of revenue leakage across 4 regions

ContractCube: The AI-driven system that identified $3.5m of revenue leakage across 4 regions
2:42

How ContractCube identified billing discrepancies for a Global Airport Services Operator.

 

Executive Summary

  • AI-powered automation enabled a global airport services operator to recover millions in lost revenue by identifying underbilling discrepancies.

  • Automated contract analysis and service capture matching improved billing accuracy and eliminated inefficiencies in manual revenue recovery processes.

  • Scalable and data-driven insights empowered financial and commercial teams to optimise auditing and revenue assurance across multiple regions.

 

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.

Identified revenue leakage

 

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.

257

Airlines covered across 100 international airports

80k 

of 2.5m processed invoiced lines with identified discrepancies

$3.5m

of potential revenue leakage identified

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.


 

Want to ensure accurate billing and prevent revenue leakage in your business?

Learn how ContractCube, our AI-powered contract intelligence solution, can help your business maximise revenue and streamline financial operations.

Explore ContractCube today.

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