Data Analysis
1) Display sales and inventory conditions through visual data kanban, use data indicators to clearly view business conditions, and use data analysis model for intuitive analysis
2) Integrate self-developed systems and third-party systems, integrate business data, build an integrated digital ecosystem, obtain more platform data, and accurately grasp sales platform policies and business requirements
3) Reduce the docking cost and R&D cost of sellers through integrated solutions, and timely obtain data information such as Amazon platform and overseas warehouse for sellers to make scientific decisions
Supply Chain Management
1) Adopt closed-loop supply chain management, link operations, procurement, quality inspection, warehouse management, logistics, finance, etc. to improve the efficiency of supply chain management
2) Provide one-stop services such as logistics information query, logistics exception alert, logistics data analysis, etc. for cross-border e-commerce business, break the complex dilemma of cross-border logistics query, and real-time update of data can be used to keep track of the process
3) Provide intelligent management of overseas warehouse, support inbound and outbound by box and product dimension, visualize documents and process data, and clearly see inventory conditions and changes