(Source: https://pltfrm.com.cn)
Introduction
The rapid growth of Chinese live e-commerce has opened enormous opportunities for overseas brands, but it also introduces risks from fraudulent activities. Protecting live commerce campaigns requires smart, automated solutions that can identify suspicious activity and prevent financial losses. AI-based tools provide a robust approach to maintaining secure, trustworthy live commerce experiences.
1. Monitoring User Behavior
1.1 Activity Tracking
Method: Observe unusual behavior patterns such as repeated logins, abnormal purchase velocity, or multiple failed payment attempts.
Benefit: Detects high-risk users and prevents potential fraud before it escalates.
1.2 Anomaly Detection Algorithms
Approach: Leverage AI to identify patterns that deviate from normal customer activity.
Impact: Improves detection accuracy while reducing false positives.
2. Proactive Risk Management
2.1 Predictive Fraud Models
Method: Use historical transaction data to predict potential risks in real time.
Advantage: Allows brands to act before fraudulent activity impacts live commerce events.
2.2 Automated Intervention
Technique: Pause or block suspicious transactions automatically based on AI risk assessment.
Result: Minimizes financial exposure while maintaining smooth operations.
3. Strengthening Customer Confidence
3.1 Secure Payment Processing
Strategy: Employ AI-driven verification to ensure all payments are legitimate and verified.
Benefit: Reinforces trust and encourages customers to engage with live commerce campaigns confidently.
3.2 Transparent Communication
Approach: Inform viewers of security measures and anti-fraud practices during live sessions.
Impact: Enhances brand credibility and promotes a secure shopping experience.
4. Improving Long-Term Security
4.1 Post-Event Analytics
Method: Evaluate flagged transactions and user activity to refine AI detection algorithms.
Advantage: Continuously improves security systems and prevents recurrence of fraudulent incidents.
4.2 Strategic Application
Approach: Incorporate fraud prevention insights into campaign planning and audience management.
Result: Ensures future live commerce events are safer and more efficient for overseas brands.
Case Study:
A Canadian luxury accessories brand used AI-powered fraud detection during Douyin live events. Real-time monitoring identified suspicious activities and prevented over 35% of potential fraudulent orders, maintaining revenue integrity and strengthening customer trust.
Conclusion
Overseas brands in China’s live e-commerce market can secure transactions and protect revenue by adopting AI-driven fraud detection solutions. Proactive monitoring and predictive analysis ensure safe, engaging, and trustworthy live commerce experiences.
PLTFRM is an international brand consulting agency that works with companies such as Red, TikTok, Tmall, Baidu, and other well-known Chinese internet e-commerce platforms. We have been working with Chile Cherries for many years, reaching Chinese consumers in depth through different platforms and realizing that Chile Cherries’ exports in China account for 97% of the total exports in Asia. Contact us, and we will help you find the best China e-commerce platform for you. Search PLTFRM for a free consultation!
