Optimizing transportation routes and enhancing resource efficiency from massive real-time data
The EMQX platform delivers low-latency, scalable, and reliable messaging capabilities. By integrating AI/LLM technology, it provides intelligent analysis and decision-making support, streamlining operations to enhance visibility and optimize resource utilization for the transportation and logistics industry.
AI-powered intelligent logistics data hub
A cloud-edge IoT data platform that enables high-speed device connectivity via MQTT and real-time data exchange. Powered by AI models, it delivers intelligent analytics and decision-making, streamlining end-to-end logistics with full digitalization and smart management.
Capabilities
Real-Time Data Processing and Edge Intelligence
Edge Computing: Deploys lightweight rule engines on vehicle-mounted devices or edge gateways to achieve local data preprocessing
Stream Processing: Supports real-time filtering, aggregation, and transformation of data streams
Complex Event Processing: Capable of detecting correlated events across devices
Highly Reliable Data Transmission
End-to-End Encryption: Supports TLS/SSL encrypted transmission to prevent data theft or tampering during transmission
Multi-Level QoS: Selects different service quality levels based on business importance
Offline Messages: Automatically caches messages in areas with unstable networks and retransmits them once the network is restored, ensuring no data loss
Visualization Monitoring and Intelligent Management
Real-Time Monitoring Dashboard: Provides visual monitoring of platform services, displaying client, message, and service status in real-time
Cloud-Edge Message Link Tracing: Integrates with OpenTelemetry for end-to-end message link tracing from edge gateways to the cloud platform
LLM-Based Operations and Maintenance Analysis: Integrates with big models to intelligently analyze massive logs, message traces, and monitoring metrics through natural language
Why EMQ
Operational Efficiency Enhancement
- Real-time Visual Management: Real-time monitoring of the status and location of each vehicle and batch of goods can increase vehicle utilization by more than 20%
- Automated Processes: Rule engines and AI decision-making reduce manual intervention and human error
- Electronic Handover: Goods handover and signing are completed via mobile devices, eliminating delays and errors associated with paper documents
- Collaborative Efficiency: Connecting shippers, carriers, drivers, and recipients for real-time information sharing
Cost Optimization
- Fuel Savings: Optimizing routes, reducing empty runs, and monitoring driving behavior can lower fuel consumption by 8-15%
- Maintenance Costs: Predictive maintenance avoids costly repairs and downtime from unexpected failures and extends equipment lifespan
- Labor Efficiency: Automated monitoring and scheduling reduce the need for routine tasks like manual inspections and tracking, saving on labor costs
Service Quality Upgrade
- Accurate ETA: Providing customers with precise estimated arrival times based on real-time traffic data and AI predictions reduces uncertainty in waiting times
- Transparent Tracking: Customers can view the location and status of their goods in real-time via an app, such as temperature control records for temperature-sensitive medications, enhancing trust
- Exception Alerts: Proactively notifying customers of potential delays or anomalies (e.g., temperature exceedance) and offering solutions rather than reacting to complaints
- Personalized Services: Analyzing customer history to provide personalized delivery time preferences, packaging requirements, and other service details to increase customer loyalty
Green Logistics
- Carbon Footprint Calculation: Automatically calculates the carbon emissions for each shipment based on distance, vehicle type, load, etc., providing a data foundation for carbon trading and neutrality
- Intermodal Optimization: Intelligent analysis of the costs and carbon emissions of different transportation modes (road, rail, water) to recommend the optimal combination
- Green Driving: Guiding drivers to adopt eco-driving habits such as economical speeds and smooth acceleration/deceleration to reduce fuel consumption and emissions
Use Cases
Intelligent Fleet Management
- Real-time monitoring, route optimization, and driving behavior analysis to reduce fuel costs by 15-20% and decrease accident rates by 25%.
Cold Chain Logistics
- Provides full-process temperature control, anomaly alerts, and compliance reports, reducing temperature exceedance incidents by 90% and customer complaints by 35%.
Unmanned Delivery
- Scheduling of unmanned devices, remote monitoring, and customer interaction to achieve 30-minute delivery times and reduce labor costs by 40%.
Smart Warehousing
- Cargo positioning, AGV management, and equipment health monitoring to improve picking efficiency by 25% and reduce downtime due to faults by 60%.
Dangerous Goods Transportation
- Enables safety monitoring, emergency response, and route risk management, reducing accident rates by 45% and obtaining insurance discounts.
Smart Ports
- Provides equipment networking, container tracking, and intermodal coordination capabilities, shortening vessel turnaround times in port by 15% and increasing throughput.