AI E-commerce Personalization Engine

Skyrocket conversion rates with hyper-personalized shopping experiences

RetailTech MVP

D2C brands, E-commerce marketplaces, Retail tech founders

$12,000 – $18,000

E-commerce

Industry

AI Personalization SaaS

App Type

4–5 weeks

Timeline

Web, Shopify Integration, Mobile SDK

Platforms

Project Overview

What We Built

An AI-driven personalization layer that integrates seamlessly with existing storefronts to analyze user behavior and serve tailored content.
Increases average order value (AOV) by 25% and reduces cart abandonment through intelligent intervention.
Ideal for: Scaling D2C brands, B2B wholesalers, Retail technology startups

The Challenge

Traditional e-commerce stores offer a static experience, leading to high bounce rates and lost sales due to irrelevance.
Irrelevant search results
Generic product suggestions
Information overload

Our Solution

Deploy real-time behavior tracking and predictive modeling to anticipate user intent and personalize every touchpoint.
Vector-based product search
A/B testing automation

Results & Impact

Successfully integrated with 5 major brands during the beta phase, showing an average 15% revenue increase.
Validated AI Revenue Lift
Scalable Retail Ecosystem
Robust Brand Adoption

Key Features & Scalability

Essential features and scalability measures that make this MVP powerful, user-friendly, and ready to grow.

Learn More

AI Semantic Search

Search that understands intent, not just keywords.

Live Behavior Tracking

Process click-stream data in real-time for instant personalization.

Email Integration

Automated, personalized email sequences based on site behavior.

Distributed cloud infrastructure capable of handling massive seasonal traffic spikes.

Initial infrastructure setup designed for growth and expansion.

Scaling Strategy

Serverless functions for computation, Database load balancing

Built to scale to 1,000,000+ monthly active users with ease.

Traffic handling capability for high-volume concurrent users.

How We Built It

Our step-by-step development process from concept to deployment, ensuring quality and efficiency at every stage.

Data Schema Design

Mapping product catalogs and user events for AI training.

Core Engine Build

Implementing recommendation algorithms and search vectorization.

SDK Development

Creating easy-to-install snippets for rapid brand onboarding.

Design System

Clean, performant design system for lightweight integration.

Wireframes

conversion-focused UI components for modern e-commerce.

Handoff Process

Handoff focusing on ultra-low latency frontend components.

Core Product Modules

User App

Smart Recommendations
AI-powered 'frequently bought together' and 'you might like' widgets.
Dynamic Content Block
Personalized banners and homepages based on user history.

Admin Panel

Analytics Dashboard
Real-time tracking of AI performance and revenue lift.
Segment Manager
Define and target specific customer personas with AI insights.

Technology Stack

We use modern tools to build AI apps that grow with you. We pick the best tools for each project, like React, Next.js, Python, and Go.

Performance & Security

Built with enterprise-grade optimization and security measures to ensure fast, reliable, and secure operation.

Frontend Performance

Static site generation, Hydration optimization

Backend Performance

Edge-based personalization, CDNs for image delivery

Database Performance

Redis for session caching, Search indexing

Authentication

Highly secure API keys and session tokens.

Data Protection

Encrypted user profiles, Strict PII isolation

Security Best Practices

GDPR compliant data handling, End-to-end data encryption

Performance & Security

Built with enterprise-grade optimization and security measures to ensure fast, reliable, and secure operation.

Frontend Performance

Static site generation, Hydration optimization

Backend Performance

Edge-based personalization, CDNs for image delivery

Database Performance

Redis for session caching, Search indexing

Authentication

Highly secure API keys and session tokens.

Data Protection

Encrypted user profiles, Strict PII isolation

Security Best Practices

GDPR compliant data handling, End-to-end data encryption

Project Timeline

Strategy & Logic

1.5 weeks

AI Logic Schema
SDK Blueprints

Development

2.5 weeks

AI Engine
Admin Dashboard
Web SDK

Optimization

0.5 week

Load testing
Final polish

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