Discovery
Deploy AI-Driven Product Recommendations That Move Inventory and Shoppers
Create revenue-boosting customer experiences with individualized product recommendations.
Deliver Well-Timed Product Recommendations That Put More in the Cart
Monetate’s product recommendation engine provides a combination of scalability alongside best-in-class algorithms. This allows you to:
- Deploy adaptive recommendations based on everything you know (or will learn) about each customer.
- Quickly boost and bury SKUs based on product attributes, like profit margin, price, and more.
- Create curated product collections through slot-level control within product recommendations.
The Importance of Personalized Product Recommendations
See how Product Recommendations can lift your business metrics.
4X increase in Add to Cart
4X uplift in Conversion Rate
29% increase in Average Order Value
It’s All Smooth Sailing for Musto + Product Recommendations
UX & Test Manager Matt Bloska describes how easy it is to use Monetate Product Recommendations to ensure that Musto’s customers are getting the right outdoor gear.
Make Omnichannel Recommendations
People love our product recommendations due to their contextual relevance and cross-channel capabilities.
Push recommendations across all your channels. We mean everywhere:
- In-store kiosks
- Online (on PDPs, PLPs, etc.)
- Via email
- On shopping apps
- In the call center
Your AI Advantage Over the Competition
Orchid AI is the intelligence layer that powers Monetate’s platform—making our personalization capabilities smarter, more intuitive, and increasingly effective over time.
Made up of a robust interplay of Machine Learning, Natural Language Processing (NLP), and Large Language Models (LLMs), Orchid AI can analyze customer behavior, predict intent, and optimize experiences in real time.
Merchandize Without Constraints
Powered by Orchid AI, our product recommendations provide users with the perfect combination of merchandising control with machine-driven automation and optimization.
Serve Recommendations Based On User Signals
Infuse recommendation algorithms with historical data, third-party insights & real-time visitor behavior. More customer context means higher conversions.
Gain Greater Control With Dynamic Filters
Fine-tune recommendation strategies with dynamic visitor history filters by feeding in suggested products based on behavioral data.
Mix & Match With No Limits With Slotting
Slotting enables slot-level control within product feeds, enabling you to mix, match, and sequence individual algorithms for ultimate control.
Maximize Revenue With World-Class Algorithms
Use one of our many algorithms such as: (1) Top selling by purchase count, (2) GeoTarget, (3) Recently viewed products, or (4) upload your own!
Helly Hansen Saw 28% Increase in RPS in Men’s Section of Site With Slotted Recommendations
Given Helly Hansen’s worldwide appeal, both its Norwegian and U.S. eCommerce teams wanted to create new strategies for more dynamic, personalized experiences that their former platforms couldn’t provide.
“Using Monetate, we’ve seen big improvements in homepage performance and can easily see which experiences are relevant for each customer.”
Easy To Use. Easy To A/B Test & Scale
Shoppers expect accurate product recommendations that speak to them.
Take out the guesswork—test and experiment to figure out which product recommendations work, and why.
Leverage robust audience analytics dashboards to learn from your recommendations and fine-tune your customer experience.
Product Recommendations: Part of a Merchandising, Testing, and Personalization Platform
Product recommendation tools are the most customer-facing part of our enterprise personalization platform. Some more capabilities include:
Our Recommendation? Let’s Create Better Customer Experiences
Deliver well-timed, personalized product recommendations to drive higher AOV and revenue.
