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  • TRY:
    Results

Recommendations
that Convert

Powered By XO

Turn browsers into buyers with dynamic, data-driven recommendations tailored to each customer across every touchpoint.

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The right balance of AI automation with Merchandiser Control. Our platform allows you to apply merchandising rules on top of algorithm models to ensure recommendations align to your brand story and business objectives

+2.5%
Lift in Conversion Rates
7x
Higher Engagement
+22%
Increase in AOV
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1:1 Personalized Recommendations

Achieve More

Our AI analyzes millions of purchases, customer traits and activities, to present relevant and inspirational recommendations.

Personalized recommendations lead to increased product views, engagement, and loyalty to drive sale growth.

From 1:1 personalized recommendations, visually similar alternatives, to cross and upsell opportunities. Our AI complemented by merchandising controls ensures the right products and content are served at the right time across all channels whilst adhering to your brand story and objectives.

Looking For Personalization By Segment?

Advanced Recommendations Powered By XO

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1:1 Personalization
Tailor recommendations to each shopper’s preferences, leverage all available data points, from behavior and context to purchase history, to deliver truly relevant, 1:1 experiences that drive engagement and conversion
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AI-Driven Optimization
Continuously improve results with A/B testing and a broad set of AI models to select the right algorithm and business controls to optimize performance.
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No Black Box
Our approach to AI keeps you in control, with full transparency of where and how AI is leveraged to develop recommendations with the ability to apply business controls to keep you in full control.
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Seamless Multi-Channel Integration
Our headless platform ensures consistency across all channels be it web, mobile, app, or email.
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No-Code & Data Science Friendly
Easily define business rules, choose the right model from our broad library of algorithms or even bring your own model. No lock in preventing you to use alternative algorithms, or preventing merchandisers and data science teams to work as one.
Pick the Right Algo With Algorithm Orchestrator
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Internationalisation

Intelligent Recommendations
for Every Shopper
Journey

Our recommendation engine intelligently adapts to each shopper’s intent and behavior.

Whether it’s first-time visitors or loyal customers, our AI ensures recommendations are relevant, aid discovery, increase engagement, and drive revenue growth.

Harness Upselling and Cross-Selling

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Complete the Look & Visual Recommendations
AI-powered cross-sell strategies using image vectors automate 'Shop The Look' or 'Visually Similar' to support discovery and increase AOV
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Similar Products
Recommend visually or feature-based alternatives.
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Others Also Liked
Leverage community insights to boost discovery and reinforce social proof
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Best Sellers
Dynamically showcase trending products
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Full Transparency

Verify, Analyze, and Optimize

Instantly access advanced analytics through a streamlined dashboard, review the impact of specific rules and recommendations, and make data-driven adjustments to better personalize the customer experience. The XO Chrome extension puts actionable insights at your fingertips, helping you continuously verify, analyze, and optimize all personalization algorithms.

A/B Test & Optimize With Insights
Santé Discount
Crownpeak’s ability to effectively manage personalized content recommendations the same way it manages product recommendations, and doing this without any constraints, is what made their solution superior and won us over

Loic Lagarde
CEO Santé Discount

Santé Discount

Connect
With Our
Experts

Have questions?

Connect with one of our experts to explore how Advanced Recommendations can drive higher conversions, deliver more relevant experiences, and unlock new revenue opportunities.

FAQ

A: Our tracker applied to your site will track various activities and traits of your customer on your site. In addition to these interactions data is extracted from your product catalogue and from our AI enrichment. We can also pull third party data which can be used in our AI models to optimise results.

A: Our platform offers all the flexibility your teams need to integrate and leverage your own data to implement the best personalisation strategies, as well as third-party data.

A: 100% Yes! Our platform gives you full power to control personalised recommendations to your customers, so that they are align with your brand story and trading objectives.

A: Web, App, Email, etc. Our headless recommendation platform makes it possible to orchestrate recommendations across any channel.

A: Our Chrome extension enables your merchandising teams to understand very simply and directly on your frontend what AI model(s) and rules have been applied and why a recommendation has been published as a result.

A: Our platform offers global and touchpoint-specific reports and graphs to track the performance of recommendation spaces. Built-in A/B testing allows teams to experiment and enhance customer experience, while technical performance metrics help AI and IT teams monitor the effectiveness of their own algorithms within the recommendation engine.

A: Our platform provides an AI-agnostic recommendation engine, allowing teams to orchestrate any algorithm based on their needs. It includes a library of pre-trained algorithms for various use cases, while also supporting third-party and custom-developed algorithms.

A: Our platform's AI-agnostic design supports any model, offering a continually updated library of models and the ability to manage customized versions for different use cases. Using the Strategy Builder, your own algorithms can be easily deployed and tested, enabling collaboration between AI and Merchandising teams. This integrated approach allows for combining proprietary and built-in models to maximize recommendation coverage and personalization.