Project Case Study

Transforming Customer Retention with Deep Learning

Client Overview & Problem Statement

A mid-sized service provider faced a high customer attrition rate, with more than 20% of its customer base leaving within a short period. Given the direct impact on profitability, customer lifetime value, and operational efficiency, the company sought an AI-powered solution to predict attrition and implement targeted retention strategies.

Key Challenges:

  • Stem revenue loss, reduce competitive & regulatory risks: High churn rates would negatively impact the bank’s market position and could invite additional regulatory scrutiny.

Our Solution Approach:

Mithril Advisory designed and implemented a neural network-based customer attrition prediction system, utilizing deep learning techniques for high-accuracy forecasting.

    1. Data Augmentation & Analysis
      • Conducted detailed data analysis to uncover key churn patterns and the critical factors that led to customer loss.
      • Balanced the dataset, standardized numerical and categorical data to improve model accuracy
    2. Deep Learning Model Development
      • Developed multiple neural network architectures and tuned them to identify the best-performing model.
      • Developed a customer segmentation frameworkbased on the likelihood of churn.

Results & Impact:

Developed a Comprehensive Customer Acquisition and Retention Strategy

  • Designed targeted engagement strategies, including: 
    • Personalized outreach and retention campaigns
    • Proactive intervention efforts for high-value customers
    • Localized marketing effortsfor customers in high-churn regions.
  • Implemented a feedback loop to track retention efforts and refine engagement strategies.

Through Mithril Advisory’s neural network-based churn prediction model, the client gained:

✅ Highly accurate early detection of at-risk customers, enabling data-driven retention efforts.

✅ Improved customer segmentation, allowing for personalized engagement and marketing strategies.

✅ Optimized AI-powered decision-making, aligning with the company’s broader digital transformation initiatives.

✅ A scalable deep learning framework, providing long-term predictive capabilities beyond the initial churn model.

✅ Revenue protection, as retention strategies focused on high-value customers at risk of leaving.

By leveraging neural networks for predictive modeling, the Client enhanced customer retention efforts, resulting in higher lifetime value and improved profitability.

The Mithril Advantage:

Mithril Advisory’s expertise in deep learning, AI, and business strategy ensures clients receive high-impact, scalable solutions for complex business challenges.

Why Partner with Us?

  • Deep AI & Industry Expertise– Our team combines corporate strategy, AI/ML, financial analytics, and deep learning for superior results.
  • Advanced Neural Network Solutions– We specialize in deep learning-based AI models that provide higher accuracy and smarter insights.
  • End-to-End AI Implementation– From data preparation to deployment, we deliver cost-effective, scalable AI solutions tailored to business needs.
  • AI Talent & Change Management– We help financial institutions develop AI capabilities through hiring, training, and upskilling
  • Ethical & Responsible AI– Our solutions are transparent, fair, and compliant with financial industry best practices.
  • Custom Solutions for Global Businesses– Whether in developed or emerging markets, our AI models are tailored to local customer behaviors and business dynamics.

At Mithril Advisory, we don’t just build AI models—we transform deep learning insights into business success.

Contact Mithril Advisory today to unlock AI-powered customer retention strategies

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