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Development of Intelligent Product Recommendation Platform
  1. case
  2. Development of Intelligent Product Recommendation Platform

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Development of Intelligent Product Recommendation Platform

oxagile.com
eCommerce

Challenge

The company currently lacks a robust system for generating personalized product recommendations, leading to missed sales opportunities and a suboptimal customer experience. Customers struggle to discover relevant products, resulting in lower average order values and reduced customer loyalty. Manual recommendation efforts are time-consuming and lack the scale needed to effectively serve the customer base.

About the Client

A rapidly growing online retailer specializing in a diverse range of consumer goods, seeking to enhance customer engagement and drive sales through personalized product recommendations.

Objectives

  • Increase average order value by 15% through personalized product recommendations.
  • Improve customer engagement and time spent on site by 20%.
  • Enhance customer satisfaction and loyalty through a more personalized shopping experience.
  • Automate the product recommendation process to reduce manual effort and improve efficiency.

Functional Requirements

  • User preference elicitation through experience configuration (drag-and-drop interface).
  • Customizable experience creation and management.
  • Seamless integration with the product catalog.
  • Dynamic product recommendations based on user behavior and preferences.
  • Support for configurable experience styles.
  • Comprehensive reporting and analytics on user choices and recommendation performance.
  • Exportable data in Excel and CSV formats.

Technology Preferences

PHP
Node.js
PostgreSQL
REST API
AngularJS
Backbone.js

Integration Requirements

  • Product Catalog System (existing)
  • WordPress (for content management/website integration)
  • AWS (for hosting and infrastructure)

Non-Functional Requirements

  • Scalability to handle increasing traffic and product catalog size.
  • High performance and fast recommendation generation times.
  • Robust security measures to protect user data.
  • API accessibility for integration with other systems.

Business Impact

Successful implementation of this platform will significantly improve customer experience, drive revenue growth, and enhance the company's competitive advantage in the eCommerce market. Personalized recommendations will lead to increased sales, higher customer retention rates, and a stronger brand reputation.

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