E-commerce Industry

AI-Driven Personalization Engine

Leading Online Retailer

Location
Bangalore, India
Duration
7 months
Team Size
12 specialists
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The Challenge

Generic product recommendations and one-size-fits-all marketing were resulting in low engagement and conversion rates. The retailer needed personalized experiences to compete in a crowded market.

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Our Solution

We developed a real-time recommendation system that analyzes user behavior, purchase history, browsing patterns, and preferences to tailor product suggestions, search results, and marketing content for each individual customer.

Implementation Steps

1

Integrated with e-commerce platform and customer data systems

2

Deployed collaborative filtering and content-based recommendation models

3

Implemented real-time personalization engine

4

Created A/B testing framework for recommendation strategies

5

Built dynamic pricing optimization system

6

Established personalized email and push notification campaigns

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Measurable Impact

30% Increase
Conversion Rate
More visitors becoming customers
20% Growth
Average Order Value
Higher spending per transaction
50% Improvement
User Engagement
Longer session times and more page views
41% Boost
Customer Retention
Increased repeat purchases

Technologies Used

Machine LearningBig Data AnalyticsReal-time PersonalizationPythonApache SparkRedis
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The personalization engine has transformed our customer experience and business metrics. Every customer now gets a unique, relevant shopping experience.

Chief Technology Officer
Leading Online Retailer

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