Logistics parks are standing at a critical crossroads.

On one side, the pressure of the “stock economy” continues to intensify—rising labor costs and inefficient traditional management models are becoming unsustainable. On the other side, the rapid shift toward electrification brings both opportunities and challenges. As electric heavy trucks accelerate adoption, demand for charging infrastructure is surging, while power capacity within parks remains constrained.

As the era of extensive expansion comes to an end, unlocking the value of existing assets and improving operational efficiency has become essential. Digitalization and intelligent technologies are the key to this transformation.

Industry Challenges: Beyond Parking, It’s About Operations

Recent research conducted by JIESHUN across dozens of logistics parks reveals that while operational needs vary, core challenges are highly consistent:

• Complex vehicle management

Heavy trucks, trailers, and standard cargo vehicles operate simultaneously. Trailer detachment and reattachment make vehicle identification difficult. Frequent entries and exits rely on manual registration, leading to inefficiencies and errors. Unauthorized parking and external vehicles further disrupt operations.

• Rising operational pressure

High labor costs persist, while traditional manual processes for registration, billing, and verification are no longer viable. Issues such as fee evasion, tailgating, and misuse of free parking time directly impact revenue.

• Energy infrastructure constraints

Insufficient and poorly distributed charging facilities result in long queues and inefficient energy replenishment, increasing operational complexity.

• Unclear path to cost reduction and revenue growth

Many operators aim to adopt intelligent solutions but remain uncertain about implementation and ROI. Idle charging stations, aging equipment, and slow maintenance response further limit service quality.

The Solution: AI-Powered Integration of Parking, Charging, and Energy Storage

JIESHUN’s AI-driven smart logistics park solution addresses these challenges through a digital, integrated, and low-carbon approach.

By combining AI, big data, and IoT technologies, the solution enables:

• End-to-end intelligent vehicle management

• Integrated charging and energy storage operations

• Data-driven decision-making through real-time visualization

1. Smart Access: From Vehicle Recognition to Operational Efficiency

At the core is AI-based multi-dimensional vehicle recognition:

• Accurate vehicle classification

Using multi-angle cameras, the system identifies over 20 vehicle attributes (type, length, axle count, etc.) with over 98% accuracy, ensuring precise billing.

• Trailer separation recognition

Supports independent billing for tractor units and trailers, solving complex logistics scenarios.

• AI-driven dispatching

Vehicles can reserve time slots online, queue automatically, and be directed efficiently to loading docks, improving turnaround efficiency and reducing congestion.

• Anti-tailgating and anti-evasion systems

Radar and video technologies ensure one vehicle per entry, while AI detects violations 24/7 and supports automated fee recovery.

• Unattended operations powered by AI

Cloud-based control centers enable remote management, reducing on-site staffing costs by over 50%.

2. Integrated Charging & Energy: From Cost Center to Revenue Engine

Energy infrastructure becomes a new growth driver:

• High-power charging solutions for heavy trucks

Supporting 240kW–960kW fast charging, reducing charging time by half.

• Seamless fleet management

Plug-and-charge functionality with centralized billing simplifies operations for fleet operators.

• Energy storage systems

Enable peak shaving and off-peak energy usage, reducing electricity costs and supporting sustainable operations.

3. Data Integration: From Experience-Based to Data-Driven Decisions

Traditionally, operators only see basic metrics such as daily traffic and revenue.

With JIESHUN’s platform:

• Parking, charging, and energy data are fully integrated

• A unified dashboard provides multi-level operational insights

• Managers can identify revenue leakage, optimize pricing strategies, and measure energy savings in real time

Data becomes not just a reporting tool—but a decision-making engine.

Flexible Business Models for Fast Deployment

To lower barriers to adoption, JIESHUN offers flexible cooperation models:

• Service exchange models using parking resources

• Build-operate solutions with guaranteed returns

• Revenue-sharing operation models

These approaches enable rapid deployment with minimal upfront investment.

Conclusion: Activating the Value of Existing Assets

Digital transformation in logistics parks is not about adopting technology for its own sake—it is about solving real operational challenges and unlocking hidden value.

When AI can understand every vehicle, when data can guide every decision, and when every unit of energy creates value—the true potential of logistics parks can finally be realized.