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    Toll Booth Data Pipeline Modernization

    About Reliance Infrastructure

    Established in 1929, Reliance Infrastructure Limited is a leading player in Engineering & Construction (E&C), power, roads, metro rail, and defense sectors. With expertise in project implementation and utility services, we drive innovation and excellence across infrastructure domains.

    Industry

    Infrastructure Development

    The Problem

    Reliance Roads faced significant inefficiencies in managing real-time integration between toll booth billing systems and banking infrastructure. Due to varying backend architectures across banks, transaction mismatches were frequent, leading to:

    • Operational delays in processing toll collections.
    • Financial discrepancies between toll deductions and actual bank transactions.
    • Reconciliation inefficiencies, making it difficult to track and validate revenue streams accurately.

    These challenges resulted in revenue leakage, reporting errors, and a lack of real-time financial insights, impacting decision-making and day-to-day toll operations.

    The Solution

    Nextqore deployed its Any Source Data Combiner to modernize the toll booth data pipeline, ensuring seamless, real-time data integration between toll systems and multiple banking platforms. Key aspects of the solution included:

    • Automated Data Processing: Streamlining data ingestion from toll booths, financial institutions, and operational systems without manual intervention.
    • No-Code Data Transformation: Enabling Reliance Roads to process, enrich, and aggregate data from different formats without the need for custom coding.
    • Cloud-Based Scalability: A flexible, pay-as-you-grow infrastructure that supports high transaction volumes without requiring costly on-premise infrastructure.
    • Real-Time Reconciliation: Ensuring instant verification of payments, reducing mismatches and financial errors.
    • Advanced Data Enrichment: Adding contextual layers, such as toll booth ID, vehicle classification, and timestamped logs, for enhanced reporting and analysis.
    AnySource Data Combiner

    Integrated real-time toll collection data from multiple booth systems and banking transactions, consolidating structured and unstructured payment logs.

    Data Reason Builder

    Matched toll transactions with banking deductions, identified missing payments, and automated reconciliation for daily reporting.

    The Nextqore platform provided a centralized dashboard, giving Reliance Roads full visibility into financial transactions, toll collection accuracy, and bank settlements

    The Result

    By modernizing its data pipeline, Reliance Roads has achieved:

    • Improved Financial Accuracy – Automated reconciliation reduced errors in toll deductions and banking transactions.
    • Faster Processing & Reporting – Real-time financial insights eliminated manual reporting delays.
    • Scalable Infrastructure – The cloud-based pipeline handles growing transaction volumes efficiently.
    • Enhanced Compliance & Auditability – Structured, timestamped records ensure regulatory transparency and dispute resolution.
    • Operational Cost Savings – Reduced dependency on IT resources and manual reconciliation efforts.

    Reliance Roads now benefits from a seamless, high-performance data pipeline that supports its toll operations with real-time accuracy and efficiency.

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