A global CPG enterprise transformed its R&D knowledge management through an enterprise Knowledge Graph that connected fragmented scientific and regulatory intelligence. By linking 90+ entities across 15+ entity types through 130+ relationships, the organization made institutional knowledge queryable, reduced discovery time from days to seconds, and established a scalable foundation for AI-powered R&D.
Case Study Topic: AI/ML
Driving Sales Productivity and Pipeline Growth Through AI-Powered Predictive Lead Prioritization
Faced with growing lead volumes and inconsistent prioritization, a leading global B2B enterprise adopted AI-powered predictive lead prioritization to improve sales effectiveness. AI-ready data foundations, machine learning-based propensity models, and intelligent lead scoring enabled higher sales productivity, better pipeline visibility, and improved conversion efficiency.
Data Standardization and Consolidation Strategy for Scalable Analytics
A global petcare enterprise transformed its analytics foundation through a comprehensive Data Standardization and Data Consolidation Strategy initiative. By harmonizing 150+ data sources and standardizing processes across global markets, the organization established a trusted, scalable data platform that improved governance, accelerated reporting, and enabled enterprise-wide Data Transformation.
AI-Driven HR Transformation for Enterprise Workforce Intelligence on Databricks
Explore how a global consumer packaged goods enterprise enabled AI-driven HR transformation on Databricks to unify HR analytics and strengthen workforce intelligence. By modernizing workforce data, automating HR operations, and improving hiring analysis, the solution delivered scalable insights that accelerated decision-making, reduced attrition, and improved global workforce planning.
AI-Powered eCommerce Optimization for CPG Brands
Discover how MathCo enabled CPG eCommerce Optimization using AI-driven insights to improve Digital Shelf Optimization, strengthen retail media performance, and accelerate Marketplace Performance Optimization, influencing $120M+ in revenue.
AI-Powered Cross-Sell Intelligence for Enterprise SaaS Growth
Discover how a leading global SaaS platform provider transformed its cross-sell strategy with AI-powered opportunity intelligence. Through an AI-ready data foundation, predictive propensity modeling, and intelligent account prioritization, the organization increased conversion efficiency, streamlined sales efforts, and unlocked significant pipeline growth opportunities.
Measuring AI Visibility Through AEO and GEO Intelligence
A leading global fashion and beauty enterprise had a strong digital shelf presence but zero visibility into how AI platforms discovered and recommended their brand. MathCo deployed a structured AEO and GEO intelligence framework using AI brand analysis tools across ChatGPT, Gemini, Perplexity, and Amazon Rufus to measure, benchmark, and optimize AI-driven brand perception.
Accelerating Refund Resolution Through Intelligent Automation
Explore how MathCo helped a leading ecommerce retailer transform refund operations through a custom-built agentic refund orchestration framework. By combining intelligent decisioning, autonomous agents, and a unified data layer, the solution accelerated refund resolution, improved policy adherence, reduced fraud, and delivered a more seamless post-purchase customer experience.
AI-Powered Revenue Expansion Intelligence for B2B Growth
Explore how a leading global B2B services provider improved targeted revenue expansion using AI-powered lead intelligence and propensity modelling. The solution enabled intelligent account prioritization and embedding actionable insights into sales workflows, the organization accelerated opportunity identification, improved conversion rates, and drove scalable revenue growth.
Driving Retail Media ROI Through Data-Led Planning and Optimization
Learn how MathCo helped a global retailer transform purchase order processing through an agentic AI-driven procurement solution that standardized fragmented workflows, reduced manual effort, improved data accuracy, and enabled scalable, intelligent procurement operations across complex supply chain environments.