Case Studies: Unlocking Real Success for Businesses

Creating a Single Source of Truth for Delivery Performance with an AI-Driven Health Index

Creating a Single Source of Truth for Delivery Performance with an AI-Driven Health Index

A large enterprise transformed fragmented delivery metrics into a unified, decision-ready view with MathCo’s Delivery Health Index. The solution consolidated critical KPIs, delivered real-time performance visibility, and enabled early risk identification across operations, empowering leaders to shift from reactive monitoring to proactive, data-driven decision-making. Discover how we made delivery health measurable at scale.

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Driving Proactive Operations Through AI-Powered Hotspot Analytics

Driving Proactive Operations Through AI-Powered Hotspot Analytics

A global technology enterprise modernized its reactive hotspot identification process with MathCo’s unified, ML-powered analytics platform. The solution automated detection, surfaced key drivers, and delivered intuitive insights, reducing customer disruption by 20% and enabling proactive operations. Discover how AI-driven hotspot analytics made it possible.

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Unlocking Profitable Growth Through Intelligent Promo Analytics

Through intelligent promo analytics, a global QSR brand transformed its promotional strategy to drive profitable growth. By measuring true incrementality, optimizing campaign performance, and introducing personalized targeting, MathCo enabled the brand to unlock $8.2M in quarterly revenue uplift and reduce promotional spend by 13% while maintaining margin discipline across regions and store tiers.

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Unified Governance Foundation on Unity Catalog

Unified Governance & Accelerated ML Innovation with Unity Catalog

Sobeys accelerated ML and GenAI innovation by building a unified governance foundation on Databricks Unity Catalog. Discover how the platform enabled end-to-end data lineage, audit-ready compliance, and a 70% reduction in dataset onboarding time to drive faster, trusted AI-driven retail decisions.

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Elevating Supply Chain Precision with Data-Driven Demand Forecasting and Replenishment Optimization

A global fashion retailer strengthened its demand planning with an intelligent forecasting and replenishment layer built on top of its SAP environment. By unifying internal and external demand signals, the solution improved accuracy across key regions and reduced more than 36% of combined lost sales and excess inventory cost, creating a more reliable and scalable S&OP process.

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Enhancing Inventory Visibility Through Smart Inventory Estimation

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. 

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Reducing Invisible Losses with Shrinkage Detection

A leading Fortune 100 CPG manufacturer struggled to identify shrinkage due to limited visibility into retailer data and operations. Our shrinkage detection solution helped them bridge data gaps and set up dynamic shrinkage thresholds, unlocking a $16M revenue opportunity within 12 months.

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Pharma data quality management case study

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.

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Driving Profitability Through Risk-Based Pricing for Commercial Auto Insurance

A leading global auto insurance broker partnered with MathCo to strengthen pricing accuracy through a risk-based predictive pricing engine. By integrating telematics, FMCSA, and claims data, the solution delivered consistent pricing decisions, improved underwriting efficiency, and helped the client proactively manage risk across commercial auto accounts.

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