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CASE STUDY

Exii

Exii.co delivers an AI-powered e-commerce recommendation engine that enhances personalization, boosts engagement, and optimizes conversion rates by tailoring product suggestions to individual user preferences.

Industry E-commerce
Solution AI-Powered Recommendation Engine
Engagement 6 months
Services Machine Learning & AI Development
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Exii

Client Context

Exii.co provides an AI-enhanced recommendation engine designed to make every online shopping experience more personalized and engaging. The platform analyzes real-time user behavior and product data to deliver intelligent, contextual product suggestions that help increase conversion and average order value.

With machine learning at its core, Exii delivers tailored shopping experiences that adapt to customer intent and preference, helping e-commerce businesses drive higher engagement and sales performance.

AI-Driven Personalization
Real-Time Insights
Conversion Optimization

The Challenge

The client needed a scalable, high-performance recommendation engine capable of processing real-time user behavior, generating relevant suggestions, and integrating seamlessly with existing e-commerce platforms — all while maintaining performance and accuracy across large product catalogs.

Our Solution

We developed a robust, machine learning-driven recommendation engine that ingests real-time behavior signals, learns user preferences, and delivers personalized product suggestions. The solution was built with scalable architecture and seamless APIs for integration with major e-commerce platforms.

Customized Recommendation Models

Built AI models for collaborative and content-based filtering specific to product catalog behavior.

Real-Time Analytics

Dashboards for observing user behavior and model performance metrics.

Multi-Platform API Integration

APIs connecting the engine with Shopify, Magento, WooCommerce, and custom stores.

Scalable Infrastructure

Cloud-native setup with elastic compute and auto-scaling to handle traffic variations.

How We Delivered

1

Discovery & Alignment

Understanding customer behavior needs and recommendation goals.

2

Architecture & Planning

Designing scalable AI model infrastructure and integration roadmap.

3

Engineering & Integration

Developing models, APIs, and integrating with e-commerce platforms.

4

Testing & Validation

Validating model accuracy and API performance under real-world traffic.

5

Deployment & Support

Production rollout and ongoing monitoring with automated triggers.

Outcomes Delivered

28% Increase in Conversion Rate

AI-powered product recommendations improved purchase completion rates.

22% Increase in Average Order Value

Contextual product suggestions encouraged cross-sell and upsell behavior.

<120ms Recommendation Response Time

Optimized real-time inference ensured instant product suggestions.

95%+ Model Precision

Machine learning models achieved high recommendation relevance accuracy.

Related Capabilities

Healthcare Consulting Generative AI Development Healthcare App Development Cloud Application Development

Facing a Similar Challenge?

If you want to enhance your e-commerce platform with personalized AI recommendations and real-time insights, our team can help you plan and deliver the right solution.

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