Recommendations
Overview
Experro’s Recommendations system empowers merchants to deliver deeply personalized, AI-powered product suggestions across the shopper journey—starting from the homepage and extending all the way to the cart page. With intuitive configurability, real-time intelligence, and robust algorithmic diversity, Recommendations in Experro is engineered to drive engagement, improve product discovery, increase AOV, and ultimately convert more shoppers.
At the heart of Experro Recommendations lies Eywa, our proprietary AI engine. Eywa blends Generative AI models, contextual understanding, and real-time behavior analytics to predict and surface the most relevant products for each shopper. It doesn’t just match keywords—it interprets shopping intent, detects micro-patterns in behavior, and uses semantic understanding to serve highly accurate and meaningful suggestions.
Each of these algorithms is fully configurable and can be plugged into recommendation widgets anywhere across your storefront.
With Experro Recommendations, you don’t just suggest products—you guide, inspire, and convert shoppers with precision and relevance, powered by cutting-edge AI.
Why Use Recommendations?
Modern shoppers—especially Millennials and Gen Z—expect shopping experiences to feel like personalized feeds. Whether they’re exploring the homepage or returning to complete a purchase, they want suggestions that resonate. Experro helps you deliver that:- Re-engage visitors with reminders of previously viewed but unpurchased products on the homepage.
- Reduce PDP bounce rates with similar products that keep shoppers exploring.
- Maximize cart value by suggesting cross-sell items like accessories or warranties at checkout.
- Create sticky, high-converting experiences with AI-powered discovery moments embedded across your storefront.
Key Capabilities
GenAI-Powered Recommendations
Experro’s recommendations are powered by Generative AI and advanced machine learning models, providing highly relevant product suggestions tuned to customer preferences, trends, and behavioral signals.Real-Time Personalization
Recommendations adapt instantly based on real-time user signals—including browsing history, searches, filter usage, and cart behavior—ensuring context-aware discovery across every digital touchpoint.Advanced Intelligence & Insights
Leverage in-depth analytics and recommendation intelligence to refine strategies, track impact, and uncover shopper trends. Optimize performance with precision using the built-in Recommendations Dashboard.Plug & Play Widgets
Get up and running in minutes—no coding required. Experro’s prebuilt, customizable widgets allow you to plug intelligent recommendations into any page—homepage, PDPs, category listings, or checkout.Omnichannel Ready
Take recommendations beyond the storefront—email campaigns and in-store kiosks can also be powered by the same AI-backed engine for a consistent and tailored experience.Available Algorithms
Experro offers one of the widest arrays of recommendation algorithms in the market. Each is purpose-built to support key stages of the shopper journey—discovery, exploration, decision-making, and retention.| Algorithm Name | Use Case |
|---|---|
| Recommended For You | Personalized suggestions based on browsing |
| Frequently Bought Together | Smart cross-sell based on purchase behavior |
| Frequently Viewed Together | Behavioral co-viewed products |
| Similar Products | Alternatives to the current product |
| Popular Products | High-performing, trending items |
| Hot New Releases | Fresh arrivals, new collections |
| Best Sellers | Most purchased products |
| Recently Viewed | Continue exploring recent interests |
| Recently Purchased | Easy reordering for returning users |
| Pick-up Where You Left Off | Resume journey from last interaction |
| Inspired by Browsing History | Pattern-matched recommendations |
| Custom / Query-Based | Business-defined or custom algorithm output |