Client Background

Our client is one of the largest global retail brands, operating in over 40 countries with a strong e-commerce presence and a vast physical store network. Known for its trend-focused product lines and rapid seasonal launches, the company serves millions of customers both online and offline every month.

Business Challenge

With rising competition and shifting consumer behavior, the client sought to improve online sales by delivering highly personalized shopping experiences. Their existing marketing automation system relied on generic customer segmentation, which:

• Limited the ability to predict customer needs in real-time.
• Created delays in adapting promotions based on live market data.
• Resulted in lower engagement and conversion rates.

They needed an AI-driven personalization engine capable of:

• Analyzing real-time behavioral, transactional, and demographic data.
• Predicting customer intent and recommending the right products at the right time.
• Automating campaign adjustments without manual intervention.

Enjara Business Solutions Approach

Strategic Planning & Data Assessment
We began with a comprehensive audit of the client’s digital marketing infrastructure, identifying data silos and integration gaps. Our data scientists designed a centralized AI model capable of analyzing multi-channel data from the e-commerce platform, CRM, and social media.

AI Model Development & Integration
Our team built and trained an advanced recommendation engine leveraging natural language processing (NLP) and machine learning algorithms to understand customer preferences. The AI model was integrated into the client’s CMS and marketing automation tools, enabling real-time personalization across website, email, and app channels.

Campaign Optimization & Automation
We deployed AI-driven A/B testing to refine campaigns continuously. The system automatically adjusted creatives, offers, and messaging based on user responses, seasonal trends, and competitor activity.

Specialized Consulting Services

• AI readiness assessment and marketing workflow reengineering.
• API architecture design for smooth multi-channel integration.
• Performance benchmarking and continuous improvement planning.

Value Delivered

• Increased conversion rates by 37% within the first 90 days.
• Reduced campaign launch times from 3 weeks to 3 days.
• Improved average order value by 22% with precise recommendations.
• Delivered a scalable AI-powered personalization framework adaptable for future marketing channels.