AI Recommendation Engine
35% increase in average order value.
Client: ShopVerse
Client Overview
ShopVerse is a fast-growing consumer retail storefront serving millions of monthly active shoppers. They wanted to personalize product discovery to reduce bounce rates and increase conversion metrics.
Business Results
Problem Statement
Low conversion due to generic product discovery.
Solutions Delivered
Deployed a real-time AI recommendation engine with vector search.
Technologies Used
Development Process
Our structured milestones deployed to deliver this project.
Phase 1: Discovery & Architecture Audit
We audited the existing codebase and telemetry logs to map data silos and structural dependencies.
Phase 2: Sprint Iteration & Dev
Collaborative sprint cycles building the core application modules under rigorous automated testing.
Phase 3: Deployment & Optimization
Staging, canary releases, and cost auditing to confirm optimal cloud and service performance.
Project Mockups & Screens
High-fidelity UI mockups optimized for client deployment.
Client Feedback
“The AI recommendation engine they built directly increased our average order value by 35%. Communication was transparent from start to finish.”
