Intelligent multi-platform order aggregation and fulfillment optimization system for e-commerce
The intelligent order aggregation and fulfillment optimization system for e-commerce platforms solves the problems of cumbersome and inefficient order processing and rigid fulfillment scheduling on multiple platforms. It achieves efficient order aggregation and fulfillment optimization, reduces costs and risks, and improves fulfillment efficiency and customer satisfaction.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- BEIJING SHUNTIANHUA TECHNOLOGY CO LTD
- Filing Date
- 2026-05-28
- Publication Date
- 2026-07-17
AI Technical Summary
Multi-platform e-commerce order processing is cumbersome and inefficient, with inconsistent order data formats that cannot be effectively aggregated, rigid fulfillment scheduling, delayed handling of anomalies, and difficulty in cost control. Existing systems lack integrated collaboration between order aggregation and fulfillment optimization.
It provides an intelligent order aggregation and fulfillment optimization system for e-commerce platforms, including a multi-platform order access and adaptation module, a unified order parsing module, a multi-dimensional intelligent order aggregation module, a real-time inventory verification module, a dynamic fulfillment scheduling module, a warehousing and distribution execution module, a fulfillment risk warning module, and a data statistics and review module. It achieves seamless integration with multiple platforms, intelligent order aggregation, dynamic optimal fulfillment, proactive risk prevention and control, and full-chain data review.
Improve the rationality and accuracy of order aggregation, reduce repetitive sorting and shipping operations, flexibly adjust the fulfillment mode, accurately balance delivery speed and cost, proactively identify fulfillment risks, reduce the rate of shipping errors and disputes, and achieve integrated management of e-commerce fulfillment across all scenarios.
Smart Images
Figure CN122415196A_ABST