Customer Insight Engine

AI-powered customer support for e-commerce on GKE. Detects cart abandonment and issues, uses Gemini to recommend actions like discounts or escalation. Real-time insights via dashboard.

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Customer Insight Engine

Inspiration

E-commerce businesses lose billions annually to cart abandonment and poor customer experience, yet most support systems are reactive rather than proactive. We saw an opportunity to use AI to predict and prevent customer issues before they escalate, transforming customer support from damage control into revenue protection.

What it does

Customer Insight Engine monitors e-commerce platforms in real-time, detecting events like cart abandonment, checkout failures, and customer dissatisfaction. It uses Google's Gemini AI to analyze customer context (purchase history, tier, cart value) and recommend intelligent actions like sending discount codes, processing refunds, or escalating to human agents. The system provides a professional analytics dashboard showing business impact and automation metrics.

How we built it

Built as cloud-native microservices on Google Kubernetes Engine (GKE), integrating with Google's Online Boutique demo application without modifying existing code. The architecture includes:

  • Event capture service that monitors user behavior patterns
  • Gemini-powered AI agent that processes events and generates contextual recommendations
  • Real-time analytics dashboard showing business insights
  • All deployed using Docker containers, Kubernetes deployments, and GCP services

Challenges we ran into

Docker platform compatibility issues between ARM64 (Mac) and AMD64 (GKE) caused deployment failures. Integrating with existing microservices without code modification required creative API monitoring approaches. Managing Kubernetes deployments, container builds, and service discovery across multiple components proved complex. Dashboard real-time updates needed WebSocket connections between distributed services.

Accomplishments that we're proud of

Created a truly non-invasive AI enhancement that adds intelligence to existing applications without touching their source code. Built a system that makes contextually-aware decisions - treating VIP customers differently than standard customers, recognizing when technical issues need human intervention versus automated solutions. Achieved seamless integration between multiple Google Cloud services while maintaining clean microservices architecture.

What we learned

Kubernetes deployment strategies require careful consideration of image platforms and health checks. Real-world AI integration involves more than just API calls - context awareness and intelligent prompt engineering are crucial for meaningful business outcomes. GKE Autopilot simplifies infrastructure management while maintaining enterprise-grade capabilities.

What's next for Customer Insight Engine

Transform this proof-of-concept into a production-ready Shopify app that merchants can install with one click. Package the AI agent as a Shopify plugin that automatically integrates with existing stores, detecting cart abandonment and customer issues without requiring technical setup. Add Shopify-specific integrations for discount code generation, customer segmentation, and email automation. Expand to support other e-commerce platforms like WooCommerce and Magento. Create a marketplace-ready solution with subscription pricing, white-label options, and enterprise features for high-volume retailers.

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