Logistics

Challenges in Logistics Industry

Rapidly Changing Customer Demands

The rise of e-commerce increases complexity, requiring businesses to quickly adapt, onboard new customers, and launch services under pressure.

Cargo Tracking Difficulties

A lack of unified real-time data across systems makes it challenging to track cargo status and location accurately.

Inventory Management Issues

Frequent and complex inventory movements across multiple systems often lead to data inconsistencies and operational confusion.

Transportation Monitoring Challenges

The absence of a unified platform limits real-time access to transport capacity, resulting in inefficient scheduling and underutilized resources.

Warehouse Management Inefficiencies

Fragmented data across different warehouses and systems reduces transparency and hinders effective inventory and space utilization.

Fragmented Business Processes

The lack of end-to-end digital integration across the logistics chain leads to inefficiencies and collaboration hurdles.

Value of Our Solution

Real-Time Transportation Visibility

Leverage real-time logistics capacity data to optimize resource allocation, minimize empty runs, and improve overall operational efficiency.

Enhanced Inventory Transparency

Utilize IoT technology for real-time warehouse monitoring and integrate dispersed inventory data for precise, standardized, and intelligent inventory management.

Streamlined Operational Automation

Implement advanced automation technologies to enhance logistics workflows, improving efficiency, accuracy, and service reliability.

Elevated Customer Experience

Deliver faster, more transparent logistics services with real-time tracking and delivery predictions, fostering trust and enhancing customer satisfaction.

Application Scenarios

Transportation Capacity Integration and Management Customer Service Collaboration Automation of Operations Data Collection and Sync about Transportation Risks

Transportation Capacity Integration and Management

Integrate TMS, GPS tracking, and partner logistics data for comprehensive transportation capacity management, enhancing efficiency and service quality.

Capacity Visualization Consolidate transport resource info like scale, type, location, and availability into a unified view for easier dispatch and optimization.

Intelligent Scheduling Use big data and AI to automatically match the best transport plans based on demand and resources, increasing utilization and response speed.

Service Provider Evaluation Establish a rating system for logistics partners based on cooperation history, service quality, and punctuality to encourage continuous service improvement.

Customer Service Collaboration

Integrate CRM, WMS, TMS, and IoT to seamlessly collaborate customer service processes, providing consistent and high-quality experiences and increasing customer loyalty.

Supply Chain Collaboration Integrate supply chain management to enhance information sharing with suppliers and partners, ensuring close collaboration and improved delivery efficiency.

Service Process Optimization Automate and standardize order processing, delivery, and returns through integration, ensuring efficient processes.

Customer Support Integrate various communication channels like phone, email, and social media to establish a comprehensive after-sales service system, ensuring timely response and resolution to customer issues.

Automation of Operations

Integrate WMS, intelligent sorting systems, Internet of Things (IoT) monitoring platforms, and TMS to achieve automated operations of logistics nodes and improve logistics operation efficiency and accuracy.

Automated Warehousing System Through integration, establish an automated stereoscopic warehouse, use intelligent sorting robots, RFID technology, etc., to realize automatic storage, picking, and packaging of goods, and improve operation efficiency and accuracy.

Intelligent Management of Stations Integrate IoT devices such as RFID and sensors into the logistics system to realize real-time monitoring of goods, equipment, and the environment to ensure the safe operation of logistics nodes.

Optimization by Intelligent Algorithms Integrate intelligent algorithms to conduct real-time monitoring and intelligent scheduling of goods loading and unloading and transshipment processes in the station, improving operation efficiency and resource utilization.

Data Collection and Sync about Transportation Risks

Through the integration of risk management, insurance, and emergency response systems, realize real-time synchronization and effective response to transportation risks, reduce losses and protect customer interests.

Risk Early Warning System Integrate big data analysis tools to identify potential risks that may be encountered during transportation and issue early warnings in advance to facilitate timely measures.

Emergency Response Mechanism Establish a complete emergency plan, including alternate transportation solutions and emergency rescue services, to ensure rapid response in case of risks and reduce losses.

Insurance and Claims Services Integrate insurance services to insure goods, transfer some risks, and ensure that customers can be compensated in a timely manner when suffering losses, enhancing customer trust.

Why Choose YiSquare？

Expert Team and Technical Excellence Our skilled team has extensive expertise in logistics software and data integration, delivering end-to-end solutions and comprehensive technical support.

Versatile and Scalable Solutions Our flexible, modular solutions cater to diverse logistics needs, seamlessly integrating with existing systems and teams while adapting to evolving market demands.

Comprehensive Support Services We provide robust technical support, system maintenance, and user training. Local teams in key cities ensure prompt and personalized service.

Proven Industry Experience With deep logistics industry knowledge, we design customized solutions that optimize core processes, enhance efficiency, and are backed by successful case studies.

Solutions

Products

Services

Customers

About Us