GenAI-Powered Personalized E-Commerce Engine (Time & Material)

The Challenge

A growing online retailer aimed to increase customer engagement and conversion rates by providing a highly personalized shopping experience, moving beyond generic product recommendations.

Key Objectives

  • Deliver hyper-personalized product recommendations in real-time.
  • Improve customer retention and average order value (AOV).
  • Enable a headless architecture for consistent experience across web and mobile apps.
  • Integrate advanced GenAI capabilities for dynamic content and search.
  • Ensure robust security for customer data and transactions.

Our Solution Highlights

We developed an E-Commerce Engine using Next.js and a Node.js backend, integrated with OpenAI for GenAI-powered recommendations and personalized search. A headless CMS allows for flexible content management, and Stripe handles secure payments. Customer data is unified in a PostgreSQL database, feeding into the personalization models. This project evolved under a Time & Material model, allowing for iterative feature enhancement.

Client Benefits

  • 20% increase in conversion rates attributed to personalized recommendations.
  • 15% uplift in average order value.
  • Enhanced customer loyalty and engagement metrics.
  • Faster time-to-market for new frontend experiences due to headless architecture.
  • Improved product discovery for customers.

Key Challenges & Our Solutions

Challenge:

Integrating GenAI models for real-time recommendations without impacting site performance.

Our Solution:

Optimized API calls to the GenAI service and implemented intelligent caching strategies to serve recommendations quickly.

Challenge:

Ensuring the "cold start" problem for new users or products was effectively handled by the recommendation engine.

Our Solution:

Combined content-based filtering and trending product data for new users, gradually shifting to collaborative filtering as user data accumulated.

Conclusion

The GenAI-Powered E-Commerce Engine, developed with flexibility under a Time & Material model, transformed the client's online store into a highly engaging and conversion-optimized platform.