Hospitality AI Platform Reconciles $300M+ in OTA Commissions
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    Case StudyTravel & HospitalityGenerative AI

    Hospitality AI Platform Reconciles $300M+ in OTA Commissions

    HashDev Team Feb 22, 2024 7 min read

    About the Client

    Client

    Global Hospitality Group

    Location

    Dubai, UAE

    Size

    200+ properties worldwide

    The Challenge

    1

    Manual reconciliation of OTA commissions consumed hundreds of staff hours monthly.

    2

    Commission discrepancies with Booking.com, Expedia, and Agoda went undetected, leading to millions in overpayments.

    3

    Finance teams lacked tools to prioritize disputes by recovery value.

    Our Approach

    1

    Analyzed historical commission data patterns to train ML models for discrepancy detection.

    2

    Designed an automated ingestion pipeline for commission invoices from multiple OTA sources.

    3

    Built confidence scoring algorithms to prioritize disputes by potential recovery value.

    The Solution

    Developed an AI-powered reconciliation engine that automatically matches invoices against PMS records.

    Implemented machine learning models trained on historical data for anomaly detection.

    Built real-time dashboards showing commission status, discrepancies, and recovery opportunities.

    Results & Impact

    $300M+Commission ProcessedAnnual OTA commissions processed automatically
    3-5%Overpayments FoundAverage overpayment rate identified
    $4.2MRecoveredRecovered in first 6 months
    90%Time SavedReduction in reconciliation time
    "The AI platform has been a game-changer for our finance operations. We recovered millions we didn't even know we were losing."

    Ahmad Al-Rashid

    CFO, Global Hospitality Group

    Technologies Used

    PythonTensorFlowReactNode.jsPostgreSQLAWS LambdaPower BI

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