Monetate, the leading personalization platform that enables ecommerce brands to build meaningful digital connections with their global customers, has announced a major advancement with the launch of Orchid AI. This new AI-driven engine unifies search, navigation, personalization, and testing, allowing brands to create cutting-edge, scalable shopping experiences.
“Today’s brands face unprecedented challenges—from rising customer acquisition costs to increasing tech competition and evolving customer expectations,” said Steve Maher, CEO of Monetate. “We’ve enhanced our platform to make it more intelligent, powerful, and accessible so teams can respond to these rising challenges head-on.”
Enhanced Features of Monetate’s AI-Powered Platform
- Smart Site Search: Orchid AI enhances search capabilities, delivering 41% higher search revenue through real-time intent-based personalization.
- Dynamic Category Pages: Tailor category pages for different customer segments using Orchid AI-driven customization.
- Intelligent Recommendations: Drive a 4X increase in revenue per session (RPS) with AI-powered product suggestions across web, mobile, apps, and kiosks.
- 1:1 Personalization: Increase conversion rates by 25% with uniquely tailored experiences at every customer touchpoint.
- Dynamic Testing: Orchid AI automatically allocates traffic to high-performing variants in real-time, eliminating the wait for statistical significance.
- AI-Powered Audience Discovery: Identify high-value segments and uncover optimization opportunities with Monetate’s advanced AI insights.
“What sets Monetate apart is our decade-plus heritage in AI-powered commerce,” said Eric Rosado, Chief Product Officer at Monetate. “While others are just beginning to experiment with AI, our platform has processed hundreds of billions of interactions, continuously learning and evolving to stay ahead of changing shopper behavior.”
With Orchid AI, Monetate continues to push the boundaries of ecommerce personalization, enabling brands to deliver data-driven, highly engaging shopping experiences.
