The client faced major challenges with inventory estimation and inventory visibility due to inconsistent reporting across retail stores where some updated daily, others weekly or monthly. This led to inaccurate tracking, operational inefficiencies, and increased inventory loss, driving frequent stock-outs, and planning disruptions. Our solution helped them improve stockout detection by ~21% and save $4.2M on infrastructure costs.
Case Study Topic: Data Analysis
Automating Data Quality to Power High-Velocity MMM
MathCo transformed MMM for a global pharma leader by eliminating tagging errors, file delays, and manual data fixes through an automated DQ Rule Engine and Watchtower. This end-to-end framework reduced data quality issues by 70%, restored trust in inputs, and enabled fully on-demand MMM cycles for faster, more reliable decision-making.
Accelerating Obsolete Part Matching with an AI-Powered Cognitive Match Engine
Discover how MathCo helped a global manufacturer accelerate obsolete part matching using AI. Through the Cognitive Match Engine, we custom built a data extraction framework, unified fragmented data, achieved near 100% accuracy, and reduced response times from days to seconds, boosting efficiency, revenue, and customer satisfaction.
Optimizing Omnichannel Marketing Strategy with MTA
Discover how a leading global Pharma company transformed its rare disease omnichannel marketing strategy through Multi-Touch Attribution. By leveraging MathCo’s interpretable, data-driven MTA model, the client identified high-impact channels, optimized call strategies, and boosted NBRx outcomes, thus unlocking precision engagement in one of pharma’s most challenging markets.
Reducing Lost Sales Opportunities with Intelligent Product Substitution
A leading CPG giant faced major sales losses due to the absence of intelligent product substitution. Traditional safety-stock rules and manual substitution lists fell short, driving stockouts and revenue loss. Our AI-powered solution helped the client identify the ideal substitute product, influencing $133M through improved order fulfillment rate.
Enabling Scalable & Governed Data Ingestion
A global CPG manufacturer partnered with MathCo to modernize its data ingestion using a metadata-driven framework on Azure Data Factory. The solution standardized data pipelines, automated deployments, and improved governance through Unity Catalog and Azure Purview. It reduced data quality issues by 40%, saved 5,000+ hours in pipeline development, and accelerated data onboarding by 50%, enabling faster, trusted insights across analytics products.
A Purpose-Built Composable CDP for Maximizing Marketing Effectiveness
A global fashion retailer partnered with MathCo to implement a Databricks-powered Customer 360 platform, unifying store, online, and marketing data into a single “Golden Customer Record.” The solution improved personalization, reduced duplicate records by 30%, cut data quality issues by 65%, and drove a 15% conversion uplift for data-driven marketing.
Streamlining Sales Insights for Better Decision-Making
A US pharma leader partnered with MathCo to unify sales data across channels using AWS. The solution created a single source of truth, integrated CRM and call data, and delivered 360° HCP dashboards—cutting reporting time by 40% and enabling 100+ users with faster, analytics-ready insights.
End-to-End Analytics for Sales, Marketing & Brand Performance
A global CPG leader partnered with MathCo to build a Snowflake-based analytics platform, unifying sales, brand, and consumer data. The solution enabled SKU-level insights, cut reporting time from hours to minutes, and provided a 360° view of brand and market performance across regions.
Health Equity Analysis: Leveraging SDOH for Targeted Interventions
Learn how a global healthcare leader transformed its brand uptake and health equity analysis process with a scalable, in-house health equity analysis system. By leveraging it, they identified geographies of greatest health disparities, achieved targeted and relevant insights, and gained full operational control for improved health intervention planning and long-term scalability.