As globalization accelerates, cross-border commerce struggles with privacy risks and data obstacles. This article delves into how AI customer prediction models tackle these problems, using the recent legal actions taken by Chicago Tribune against Perplexity as a case study. Highlight the benefits and potential ethical challenges AI applications bring to commerce across borders.

With technological advancements, artificial intelligence (AI) is permeating industries including cross-border e-commerce. This evolution shifts traditional client-getting methods by providing precision in target audiences and enhancing digital marketing efficiencies. Delving into the trends of 2025, we explore how businesses will achieve cost-efficiency and increased customer reach, with insights drawn from Modern's upcoming AI-powered MobED robots and its lessons for global commerce players.

The growing adoption of AI in enhancing customer acquisition for businesses has transformed digital interactions. Discover how companies, especially those operating in the cross-border e-commerce sector, leverage AI techniques to optimize their email marketing efforts for enhanced reply rates. Insights from recent technology developments—such as GaoDe’s "AI Parking Radar"—will highlight practical applications and strategic tips tailored to achieve superior email engagement results.

With AI's continuous advancement by 2025, cross-border B2B commerce is set for transformation, fueled particularly by AI's role in client lead generation, efficiency enhancement, and cost optimization—empowering exporters and online retailers to stay competitive in a rapidly evolving digital world.

In today’s competitive market landscape, the efficiency of lead generation plays a vital role in achieving business success. Leveraging advancements in AI technology enables companies to open new avenues for capturing customers. Here we’ll examine various use cases of AI-based lead acquisition across e-commerce, B2B, social media, and beyond, while offering actionable insights to ensure you outperform competitors through cost-effective and high-converting strategies.

This exploration discusses how the advancements of the AI-driven customer prediction model in 2025 can precisely target high-value customers. Combined with personalized email campaigns enabled by AI-driven hyper-contextual communication technologies such as Alibaba's Xiyan-SQL analytics, this piece offers strategies for companies to rise above intense market competition.

AI's role in refining ad placement and audience targeting reshapes today's digital marketing strategies. This article outlines effective tactics that utilize machine learning and multi-dimensional data to increase conversion rates, while decreasing costs. Get actionable strategies that work!

The application of artificial intelligence (AI) continues to redefine ad placements, with strategies focused on accurate audience engagement set to drive cost-effective solutions by the year 2025. By combining cutting-edge technologies such as the highly advanced GPT-5.1-CodexMax, businesses can not only improve the performance metrics but also achieve a more refined touchpoint in marketing.

随着AI技术的不断发展，越来越多的公司开始利用AI进行精准获客。小米近日在AI领域取得的重大进展，为其跨境电商广告投放提供了新的解决方案。本文将探讨AI如何帮助跨境电商企业实现低成本高转化率的客户获取，特别是如何通过AI优化广告投放，精准触达目标人群并降低CPA。

This article discusses advanced AI applications in foreign trade lead generation, focusing on how to use AI prediction models for screening quality clients, along with recent cases such as Alibaba’s "Star-Chasing AI" smart assistant. It highlights how accurate customer selection through predictive modeling and personalized outreach significantly increases conversion rates while minimizing wasted effort.