AI-Based Personalization Provides 10%+ Revenue Uplift

From emails to pop-ups to push notifications, today’s consumers are inundated with offers from retailers everywhere. The influx of irrelevant offers only muddies the waters for consumers, leading to lower conversion and rising cart abandonment rates.

In this case study, ZineOne addresses the challenges retailers face and how they can overcome them with the solutions provided in this case study.

The case study highlights:

• How AI-based recommendations can help retailers provide relevant and personalized engagement
• How data unification can garner more customers and increase loyalty
• How machine learning can be used to accurately predict and influence in-session purchases