1 min read

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.

Optimising promotional pricing: Data-driven strategy for enhanced ROI

Optimising promotional pricing: Data-driven strategy for enhanced ROI

PE backed Retailer with €1.3bn annual turnover were interested in increasing their promotion visibility and optimising their promotions to increase...

Read More
Optimising resource allocation and hiring with probabilistic modelling

Optimising resource allocation and hiring with probabilistic modelling

A Monte Carlo resource modelling enables data-driven workforce planning by forecasting resource demands, identifying overallocation risks, and...

Read More
Enhancing Deal Insights with MeetingIQ

Enhancing Deal Insights with MeetingIQ

A prominent Mergers and Acquisitions (M&A) and private capital markets advisory firm streamlined meeting insights using QuantSpark’s Generative...

Read More