Customs Big Data

Application Scenario

Customs Big Data

By harnessing big data, customs operations can be empowered, improving overall operational intelligence. Deep data mining drives the maximization of data value, while multi-dimensional visualization ensures effective presentation of critical insights.

Big data plays a key role in areas such as import-export supervision, tariff and other tax collection, anti-smuggling enforcement, and the compilation of customs statistics. Additionally, it is vital in port management, bonded area supervision, customs inspections, intellectual property protection at customs, and international customs cooperation, contributing significantly to the modernization and efficiency of customs operations.

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Industry Challenges

Complex data integration

Customs interfaces with numerous departments, and the data involved is diverse in type and format, making aggregation and integration a significant challenge.

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Unlocking the value of “goldmine” data

High-value customs data requires advanced big data mining techniques to maximize its potential and drive actionable insights.

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Data governance and sharing issues

Inconsistent data standards, governance difficulties, low utilization rates, and challenges in cross-regional and cross-departmental data sharing hinder effective data use.

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Our Methodology

Aggregate multi-source data to strengthen application foundation

Integrate internal customs business data, market transaction data, and enterprise-related data, while combining social data resources to form a “golden” data pool for customs inspection and supervision. Applying advanced data governance concepts and methods, establish a Customs Big Data Center to provide a solid foundation for business applications.

Leverage core technologies to build a smart customs system

Utilize big data visualization technologies, employing 2D, 3D, and other formats to clearly present business processes and ensure seamless implementation of the final stage of smart customs construction.

AI-driven analysis to unlock latent value

Employ artificial intelligence and other data mining techniques, using customs declarations, manifests, and enterprise credit data as the foundation. Focus on detecting illegal activities such as false trade transactions and tax evasion, enhancing customs efficiency, precisely targeting violations, and safeguarding national borders.

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Implementation Value

Build a Customs Data Lake for comprehensive data integration

Establish a broad, “pan-customs” data lake that consolidates data across enterprises, transactions, commodities, inspection and quarantine, tariffs, credit, and other domains. Using data governance technologies, create a multi-dimensional, fully integrated data ecosystem covering the entire data lifecycle.

Data-driven, business-oriented intelligence

Centered on data mining and guided by business needs, leverage big data technologies to provide precise profiling and early warning capabilities, such as risk assessment for tax-related customs declarations and market access. Detect commodity issues using manifests and customs declaration comparison models. Apply AI technologies and tagging libraries to accurately identify fraudulent trade, and develop targeted solutions for specific sectors and trade entities.

Visualization for dynamic monitoring and decision-making

Present customs declarations, import-export elements, and KPIs in a comprehensive visual format with real-time updates. This forms a dynamic monitoring and command center for import-export activities and international trade, supporting informed and timely decision-making.

Customs Big Data

Application Scenario

Customs Big Data

Industry Challenges

Complex data integration

Unlocking the value of “goldmine” data

Data governance and sharing issues

Our Methodology

Aggregate multi-source data to strengthen application foundation

Leverage core technologies to build a smart customs system

AI-driven analysis to unlock latent value

Holistic Planning

Implementation Value

Build a Customs Data Lake for comprehensive data integration

Data-driven, business-oriented intelligence

Visualization for dynamic monitoring and decision-making

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