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Featured Case StudyE-commerce

AI-Driven E-commerce Personalization

Personalization engine that increased conversion rates by 58% and average order value by 41% through intelligent product recommendations.

Client:MegaStore Online
Duration:6 months
Team Size:8 specialists

Project Overview

Client

MegaStore Online

Industry

E-commerce

Project Duration

6 months

Personalization engine that increased conversion rates by 58% and average order value by 41% through intelligent product recommendations.

The Challenge

Generic product recommendations were not engaging customers, resulting in low conversion rates and missed cross-selling opportunities.

Our Solution

Implemented a sophisticated recommendation engine using collaborative filtering, content-based filtering, and deep learning to provide hyper-personalized shopping experiences.

Results & Impact

+0%

Conversion Rate

Increase in purchase conversion

+0%

Average Order Value

Increase in order size

+0%

Customer Retention

Improvement in repeat purchases

$0M

Revenue Impact

Additional annual revenue

Technology Stack

The cutting-edge technologies and frameworks we used to build this solution.

TensorFlow
Apache Spark
Redis
Elasticsearch
Kubernetes
React
FastAPI

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