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.
Case Study Topic: Business Intelligence
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.
Powering Precision with Data-Driven Assortment Optimization
A leading US-based apparel retailer replaced assumption-driven planning with retail assortment optimization across 5,000+ stores. See how MathCo’s data-driven assortment planning and store cluster optimization delivered ~$5M incremental revenue, 7% sales growth in optimized clusters, and sharper retail merchandising analytics — turning local nuance into a scalable growth lever, store by store.
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.
Unlocking Competitive Advantage with Predictive Market Share Intelligence
A leading US grocery and general retailer struggled to defend category leadership against online-first rivals using delayed, fragmented data. See how MathCo’s retail market share intelligence and predictive market share analytics delivered a ~$2.7B revenue impact, lifted reporting accuracy from 65% to over 80%, and sharpened category performance analytics across regions.
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%.
Elevating Marketing ROI Through Multi-Touch Attribution
A leading global fashion retailer transformed its marketing effectiveness with MathCo’s Multi-Touch Attribution framework. By unifying online and offline data, deploying advanced algorithmic models, and enabling touchpoint simulations, the company achieved ~1.5x higher ROI and 15% lower eCPA. The solution delivered actionable insights, powered smarter budget allocation, and strengthened resilience in a cookie-less world.
Maximizing Membership ROI Through Ideal Member Analysis
Explore how MathCo partnered with a leading general retailer to identify high-value members and build a comprehensive, data-driven segmentation framework. By leveraging behavioral insights to design targeted engagement strategies, the retailer achieved a measurable uplift in conversion rates while strengthening loyalty, maximizing member value, and unlocking long-term growth potential across its membership program.
Strengthening E-Commerce Growth Through Buyer Trust Analytics
A leading e-commerce company partnered with MathCo to create a Buyer Trust Model that turned fragmented buyer data into actionable insights. By profiling customers with trust scores and streamlining dispute reviews, the solution cut fraud losses by 35% and improved seller retention by ~5%, strengthening marketplace integrity at scale.
Building Resilience Through Smarter Inventory Planning
Explore how we helped a leading home improvement retailer reduce inventory costs by 20% and cut emergency shipments by 30%. By optimizing stock placement across distribution centers and stores, we improved product availability, streamlined replenishment, and built a more resilient, cost-efficient supply chain.