Case Studies

BFSI

Hyper-Personalization Engine for Retail Banking through Agentic AI

Developed AI-driven personalization engine analyzing customer behavior patterns. Increased cross-sell conversion by 45% and engagement scores by 60%.

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BFSI

Orchestrating the Future of Lending with Agentic AI

The financial services industry is experiencing a fundamental shift, driven by increasing demands for operational efficiency, cost reduction, and improved customer experience. This case study introduces the Agentic AI Loan Origination Platform, a multi-agent system designed to autonomously manage the full loan origination lifecycle.

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BFSI

Dynamic Climate Risk Assessment in the Indian Banking Sector

This case study presents a dynamic, forward-looking framework and working model for assessing climate-related financial risks in the Indian banking sector.

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BFSI

Real-Time Stock Market Intelligence System

The culmination of comprehensive research, development, and validation of a novel system for real-time stock market intelligence. The system is production-ready and available for deployment in commercial and research environments.

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BFSI

Predictive Delinquency Model for Leading Private Bank

Implemented machine learning models to predict delinquency 90 days in advance. Achieved 85% accuracy, reduced defaults by 30%, and saved $12M annually.

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Manufacturing

Transforming Manufacturing Operations Through Predictive Intelligence

This case study demonstrates how advanced analytics transforms manufacturing operations from reactive problem-solving to proactive, data-driven maintenance strategy.

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Manufacturing

Supply Chain Optimization for Cement Industry Leader

Implemented end-to-end supply chain analytics platform integrating demand forecasting, inventory optimization, and logistics planning. Achieved 20% reduction in inventory holding costs, 15% improvement in on-time delivery, and 12% decrease in transportation expenses.

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Manufacturing

Predictive Maintenance System for Automotive Manufacturing

Deployed IoT-enabled predictive maintenance solution reducing downtime by 40%, extending machine lifespan by 25%, and saving $8M annually.

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Retail

Agentic AI Imperative: 8 Intelligence Systems Redefining Retail & CPG Performance

Eight production-ready Agentic AI deployments — spanning marketing optimization, demand forecasting, supply chain resilience, competitive defense, and strategic governance

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Retail

Customer Segmentation & Targeting for Global Retail Chain

Developed sophisticated look-alike modeling and customer segmentation framework for international retail chain with 500+ stores. Identified high-value customer segments, optimized marketing spend by 35%, and increased customer lifetime value by 28%.

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Retail

Agentic AI Based Hyper-Personalization Targeting

It is a 24/7 personal shopper that learns your tastes, respects your privacy, and never sleeps!

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Retail

Demand Forecasting & Inventory Optimization for CPG Company

Built advanced demand forecasting models incorporating seasonality, promotions, and external factors. Reduced stockouts by 50%, decreased excess inventory by 30%, and improved forecast accuracy to 92%.

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Healthcare

HealthTarget AI: Agentic Look-alike Patient Modeling for Healthcare Marketing

An Enterprise Case Study in Multi-Agent AI Architecture for Patient Identification and Segmentation Across Five Therapeutic Areas

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Healthcare

Healthcare AI: Automating Dental Radiology with Deep Learning & Generative AI

An integrated AI framework is transforming panoramic X-ray interpretation — detecting 31 clinical conditions, generating structured reports, and restoring diagnostic consistency in dental practice.

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Healthcare

Marketing Mix Modeling for Healthcare Brand Portfolio

Developed comprehensive marketing mix model with simulator tools for pharmaceutical brand portfolio, analyzing impact of promotional activities across channels. Optimized marketing budget allocation, achieving 25% improvement in marketing ROI and 18% increase in market share.

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Healthcare

Sample Optimization Model for Pharmaceutical Sales Force

Designed AI-powered sample allocation system for global pharma company, optimizing distribution based on prescription patterns and ROI analysis. Increased sample-to-prescription conversion by 40%.

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