Client Overview

A UK-based startup offering cutting-edge AI agents to enhance operations and decision-making for e-commerce platforms.

Requirement

The client faced multiple technical hurdles that limited product testing and performance insights:

No pre-production environment to test AI agents or product listings before going live
Limited analytics and performance monitoring capabilities
Lack of a unified dashboard for stakeholders to visualize and act on critical data

We architected a scalable, cloud-native solution to tackle these gaps head-on:

Developed a dedicated trial environment using .NET 8, Azure Functions, Blob Storage, and Azure DevOps to simulate e-commerce behavior before final product listings
Applied an agentic design approach to ensure intelligent, autonomous behavior for testing workflows
Created a role-specific, AI-powered intelligence dashboard for real-time insights and automated alerts
Used Terraform for infrastructure as code, enabling consistent and repeatable deployments

Accelerated product testing cycles by >40% through a safe and realistic simulation layer
30% reduction in production errors and mislistings, improving customer trust and platform reliability
Actionable insights via tailored dashboards for product, marketing, and ops teams
Automated anomaly detection and alerts, ensuring 52% faster response to issues
Improved collaboration between development and business teams through shared visualization
Future-ready architecture with modular components for easy scaling and integration