Client Background
A leading client in the digital commerce space offers robust solutions for managing ecommerce operations and subscription-based business models. Their cloud-native platform supports recurring billing, global payments, compliance, and enhanced customer engagement — empowering companies across various industries to monetize digital products and SaaS offerings efficiently.
Business Challenge
The client wanted to elevate their email marketing functionality within their ecommerce platform by incorporating AI-driven insights. Specifically, they aimed to integrate Machine Learning to predict customer churn, allowing businesses on their platform to send highly personalized, retention-focused email campaigns.
In addition, they sought to streamline the campaign creation process through automation, eliminating much of the manual effort previously required for marketing execution.
Churn Prediction in Ecommerce: Enjara’s Approach
Enjara Business Solutions stepped in with a strategic AI and cloud-first roadmap. During the Proof of Concept (PoC) phase, our team developed a working prototype and laid out a technical architecture designed to automate the marketing module of the client’s platform. Using a detailed Work Breakdown Structure (WBS), we focused on core areas such as template management, email dispatching, data integration, and performance analytics.
Following a successful PoC, we deployed a serverless AWS-based solution, embracing cloud-native design patterns to ensure scalability, low maintenance, and easy integration with Machine Learning systems. Our use of MLOps best practices ensured smooth automation, reproducibility, and continuous improvement of AI-powered email campaigns.
Solution Implementation
Enjara implemented a multi-tenant, ML-powered module within the ecommerce platform to accurately predict churn and optimize email targeting.
We built a serverless workflow using AWS Lambda and AWS Step Functions to automate personalized campaign delivery. These functions defined each step of the email journey — from content generation to delivery, tracking interactions, and updating analytics. This gave users the flexibility to launch campaigns via API, allowing configuration of recipient lists, scheduling, and churn-based segmentation.
To support predictive analytics, we set up a robust Machine Learning infrastructure. After collecting user interaction data within email workflows, our AI engineers used Amazon SageMaker to develop predictive models. These models estimated the probability of user churn or email engagement and fed directly into the campaign logic.
Email delivery was dynamically tailored:
- High-risk users received persuasive, retention-focused messages.
- Loyal users were sent ongoing marketing content to reinforce engagement.
We also created interactive dashboards showing predicted revenue trends and user behavior insights — all driven by churn probability data.
To simplify campaign building, we developed a React-based email template builder, allowing users to drag and drop pre-made content blocks. This dramatically reduced the time needed to design and launch campaigns.
Value Delivered
Through Enjara Business Solutions’ expertise, the client successfully integrated advanced AI capabilities into their ecommerce platform, leading to:
- Automated customer segmentation and personalized outreach based on churn prediction;
- Higher retention rates and revenue growth from targeted marketing actions;
- Cost savings and system flexibility through a modern AWS serverless architecture;
- Improved marketing team productivity via intuitive email template tools.
This project empowered the client’s users with actionable insights and marketing automation, unlocking new levels of operational efficiency and customer satisfaction.
