A global snacking and CPG enterprise partnered with MathCo to unify fragmented retail data and strengthen shopper insights across 8–10 major retail accounts. By leveraging existing dashboards, reports, strategic presentations, and data tables, MathCo developed Shopper Signals Studio, a connected insights layer that transformed disparate information into trusted weekly signals, enabling commercial teams to make informed decisions and act on out-of-stocks, growth opportunities, and promotional effectiveness with greater speed and confidence.
Case Study Topic: Business Intelligence
Intelligent Store Operations: Connecting Data, AI, and Computer Vision at Scale
A global QSR leader partnered with MathCo to develop AI-powered store operations using enterprise data, computer vision, and intelligent decisioning. By leveraging existing camera infrastructure and connecting operational and hyperlocal signals, the solution helped store managers identify conditions, make informed decisions, and take timely action across workflows, creating a more connected store operations platform.
Modernizing Retail Media Data Operations with Agentic AI for Real-Time Campaign Insights
A retail media platform strengthened campaign trust and data operations through an agentic, AI-native data foundation. By combining automated data quality monitoring with standardized attribution logic, the solution improved data quality compliance, accelerated onboarding of new data sources, and reduced campaign reporting turnaround at scale.
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.
Domain-Aware Conversational Intelligence for Enterprise KPI Access
Explore how a global retail enterprise enabled Domain-Aware Conversational Intelligence on Databricks Genie to unify fragmented KPI access across business functions. By leveraging conversational analytics and multi-agent orchestration, the solution delivered governed, self-serve enterprise KPI intelligence, reduced analyst dependency, and significantly improved decision speed and insight consistency across domains.
Driving Patient Intelligence with Data Modernization
Learn how MathCo’s Snowflake platform broke down data silos for a global biopharmaceutical leader, replacing legacy SQL databases with a unified cloud architecture. By integrating patient and HCP portal interactions into a single source of truth, the solution accelerated query performance by 60%, surfaced 35% more patient insights, and drove a 6% lift in patient engagement.
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.
Enabling a Unified Customer360 Solution Through Identity Resolution
Discover how a leading fashion retailer transformed fragmented customer data into a unified Customer360 platform. By enabling scalable identity resolution, strengthening data reliability, and activating high-quality customer insights, MathCo drove a 15 percentage point uplift in digital targeting conversion rates without increasing spend.
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.
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.