CLIENT CONTEXT

Founded in 1990, JC Trans Logistics is one of China's large international logistics enterprises.

The company specializes in door-to-door, end-to-end international logistics services.

Its flagship JC Trans Logistics Network ranked No. 1 among domestic logistics industry websites for five consecutive years.

As the business scaled, it needed a data foundation for faster operational response and growth.

BUSINESS CHALLENGES

Data was disconnected across logistics transportation, financial management and third-party business systems.

Lack of end-to-end visibility made cross-functional analysis and business control difficult.

IT teams were overloaded by repetitive report requests and data preparation work.

Business teams needed self-service analytics and proactive exception management instead of manual, reactive operations.

GUANDATA SOLUTION

Integrated logistics transportation and financial management data into an agile data warehouse.

Built a unified data foundation to preserve historical operational data and establish a single source of truth.

Enabled anomaly alerts and real-time order monitoring for shipment tracking.

Rolled out self-service analytics capabilities to business users to shorten analysis cycles.

Planned a phased path toward high-performance architecture and AI-augmented exception detection and forecasting.

SELECTED ANALYTICS SCENARIOS

BUSINESS IMPACT

Broke down data silos across core logistics and finance systems.

Launched real-time order monitoring to track shipments end-to-end.

Enabled early warnings for high-risk orders so teams could intervene before customer impact.

Reduced IT workload and empowered non-technical users to conduct self-service analysis.

Supported improved delivery performance and lower operating cost through data-driven risk mitigation.

APPLICABLE SCENARIOS

Applicable to logistics, freight forwarding, shipping, port-service and distribution companies with fragmented operational systems.

Useful when customers need shipment monitoring, exception alerts, finance-operation integration and self-service analytics.

DATA & PROCESS SCOPE

Connects logistics transportation, finance and third-party business data into an agile analytics foundation.

Covers order monitoring, anomaly alerts, historical data preservation and business self-service analytics.

KEY TAKEAWAY

This case shows how logistics operators can move from siloed systems and reactive issue handling to end-to-end visibility.