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Development of AI-Powered Personalization Platform for E-commerce

sunscrapers.com

eCommerce

Gaming

Other industries

Current Challenges in Online Shopping Personalization

Internet users face dissatisfaction from depersonalized search results and lack of curated options when shopping for electronics, games, and travel. Existing platforms fail to address individual preferences, leading to excessive time spent on product searches and suboptimal purchasing decisions.

About the Client

Polish startup leveraging AI to deliver personalized recommendations for consumer goods and experiences

Platform Development Goals

Create an AI-driven recommendation engine for personalized shopping experiences
Develop scalable algorithms for electronics, gaming, and travel categories
Reduce user decision-making time through curated product lists
Enhance customer satisfaction via tailored recommendations

Core System Functionalities

Category selection (electronics, games, travel)
Interactive preference-capture forms
Real-time AI-driven recommendation engine
User account management system
Search history and preference tracking

Technology Stack

Django

React

Redux

PostgreSQL

External System Integrations

Third-party product APIs
Payment gateway integration
Travel booking APIs
User authentication services

Performance Requirements

High scalability for growing user base
Real-time recommendation processing
Data security for user preferences
Cross-device responsive design

Expected Business Outcomes

Implementation of the AI recommendation engine is projected to reduce user decision-making time by 40%, increase platform engagement through personalized experiences, and drive higher conversion rates across electronics, gaming, and travel categories. The solution will position Letme as a leader in AI-powered e-commerce personalization within the European market.