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.
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Powering Precision with Data-Driven Assortment Optimization
Through data-driven assortment intelligence, a leading US-based apparel retailer achieved sharper localization and improved customer satisfaction. Leveraging advanced clustering and optimization, MathCo enabled tailored product mixes across 5,000+ stores, driving a ~7% sales uplift and ~$5M revenue impact for high-priority categories while ensuring every store met the unique demands of its shoppers.
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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.
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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.
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Unlocking Competitive Advantage with Predictive Market Share Intelligence
Learn how a leading US grocery and general retailer strengthened its market position through a predictive Market Share Analytics solution. By integrating 18+ data sources and embedding competitive intelligence capabilities, the retailer improved reporting accuracy, accelerated decision-making, and unlocked a ~$2.7B revenue impact, turning market insights into a sustained competitive advantage.
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Streamlining Stock Transfer Orders with AI-Powered Replenishment System
A leading CPG enterprise struggled with frequent last-minute stock transfer orders due to manual, spreadsheet-based processes and the absence of a data-driven safety stock strategy. MathCo implemented an AI-powered replenishment automation system using Agentic AI and ML insights, enabling faster, more accurate fulfillment and end-to-end warehouse efficiency across multiple locations. This helped to reduce stockout incidents by 30%.
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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.
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Maximizing Revenue with Smarter Segmentation & Attribution
Discover how a leading retailer partnered with MathCo to build scalable campaign analytics pipelines, enabling smarter customer segmentation and precise marketing attribution. The solution improved data quality by 50%, reduced pipeline runtime by 60%, and boosted visitor identification accuracy from ~30% to over 50%, driving faster insights, more effective retargeting, and higher marketing ROI.
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A Purpose-Built Composable CDP for Maximizing Marketing Effectiveness
A global fashion retailer partnered with MathCo to implement a Databricks-powered Customer 360 platform, consolidating store, online, and external 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% uplift in conversions, enabling scalable, data-driven marketing decisions.
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