With advancements in artificial intelligence, enterprises increasingly adopt AI as a strategic priority, leveraging the capabilities of AI customer prediction models to effectively boost growth and improve operations.

With the constant evolution of AI technology, particularly the release of the newly-launched multi-modal key model Keye-VL-671B-A37B by Kuaishou, AI applications in the customer service field are becoming increasingly diverse. For cross-border e-commerce enterprises, the AI client prediction model has evolved as a vital tool. This article delves into the latest development trends in AI customer prediction models and explores how they aid enterprises in precisely screening quality leads, cutting down on inefficient investment, and improving overall acquisition efficiency.

This article examines how the adoption of AI-based prediction models in personalized email marketing enhances customer outreach and drives better business outcomes specifically for foreign trade businesses. Insights include case studies from key global tech leaders and data-backed strategies that align with current digital-first strategies prioritized by businesses.

This article explores the application prospects and practical values of AI customer prediction models, providing deep analysis from technical principles, practical cases, and future development directions. This analysis aims to assist enterprises to enhance their client acquisition efficiency, optimize resource investments, and achieve long-term growth with advanced technology like artificial intelligence (AI).

Artificial intelligence (AI) is driving the next wave of growth for cross-border e-commerce enterprises. In this article, seven essential strategies are presented to help brands refine their overseas marketing plans and achieve optimal customer acquisition by tapping into AI solutions tailored for the digital age.

Against the backdrop of global economic recovery and rapid internet advancement, cross-border e-commerce is facing unprecedented growth opportunities and competitive pressures. How to achieve user growth efficiently while controlling costs has become crucial for businesses entering the digital era in 2025. We’ll delve into the emerging AI-powered trends reshaping user acquisition strategies and explore how advanced technologies help streamline operations.

With rapid advances in AI technologies, precision acquisition has become the core driver of corporate marketing. This article explores how businesses can utilize AI to enhance their advertising effectiveness while reducing costs for greater ROI.

With AI continuously advancing, the cross-border e-commerce and B2B sectors are encountering significant opportunities and challenges alike. One focus area for businesses today is optimizing advertising expenditure by employing intelligent solutions to increase accuracy in reaching desired customers. This piece will investigate current applications of AI technology that can address this critical issue.

With the growing use of AI technologies in business domains—especially within cross-border e-commerce—the focus has been on how to harness AI techniques for more effective customer attraction. This article delves into the trends of 2025’s AI-powered customer acquisition, primarily how precise advertising can cut down acquisition costs while raising conversions for competitive dominance worldwide.

随着AI技术的迅猛发展，跨境电商行业迎来了新的增长机遇。阿里巴巴1688推出的跨境AI智能体“遨虾”（AlphaShop）通过AI技术，为全球跨境创业者提供了一站式的智能化数字供应链解决方案。本文将探讨AI在广告投放中的优化应用，特别是如何通过“遨虾”智能体精准提升广告投放效率，降低每次行动的成本(CPA)，从而实现高效的获客策略。