Global E-commerce Consumer AI Analytics System
AI analysis system for cross-border e-commerce consumption data
PRODUCT
>Cross-border platform data docking module
>User behavior and portrait analysis engine
>AI intelligent advertising delivery strategy engine
>Multilingual AI advertising content generation module (AIGC)
>A/B testing and delivery monitoring system
>Advertising effect analysis and KPI visualization module
>Competitive product data crawling and analysis module
>Data security and permission management system
AI MODELS
Data processing capability
>The system should support at least 10TB of data collection, cleaning and processing capabilities per month
>Support batch processing and stream processing dual modes (Spark Streaming / Apache Flink)
AI algorithm
>Use multi-layer neural network (DNN) and decision tree model (XGBoost) to optimize delivery strategy
>The model should support online learning and periodic automatic parameter adjustment
System architecture requirements
>Cloud native deployment, support AWS, Google Cloud
>Use Docker and Kubernetes to achieve elastic expansion and service orchestration
System stability and response indicators
>Uptime is not less than 99.5%
>Key page loading response time < 2 seconds
Scalability and modular design
>Support subsequent integration of emerging platform data sources such as TikTok Shop and Temu
>Each module should follow the RESTful API design specification for easy independent maintenance
Log and audit tracking
>Full-link log recording and operation behavior audit, in line with GDPR and PDPA requirements
>Provide export log function and support ElasticSearch integrated query
COOPERATE
Our strategic partner is a technology company with strong research and development capabilities and proven experience in AI-based data analytics and advertising technologies. It owns proprietary systems for user behavior modeling, intelligent ad optimization algorithms, and dynamic data visualization platforms. Through in-depth collaboration with this partner, we will integrate consumer data from major global e-commerce platforms (such as Amazon, Shopee, Lazada, and eBay), build high-dimensional user profiling models, and leverage these to drive automated generation and distribution of tailored advertising content—ultimately enabling dynamic, personalized advertising at scale.
This partnership goes beyond the scope of system development and deployment; it focuses on building a long-term ecosystem. Looking ahead, we plan to jointly expand into additional functions including intelligent product selection, market trend prediction, and multilingual AIGC-generated copywriting. Together, we aim to create a comprehensive AI-powered operations platform for cross-border e-commerce, helping Chinese enterprises connect with global consumers more effectively, reduce operational costs, improve efficiency, and accelerate brand globalization.
