We partnered with a leading apparel retailer to build a data-driven pricing optimization framework that helped unlock ~$2.5M in annual margin gains. By incorporating price elasticity, product lifecycle stages, and granular demand patterns, the solution empowered the client to make more confident pricing decisions, reduce reliance on blanket discounts, and improve the overall effectiveness of their promotion strategy.
Case Study Topic: Data Science Consulting
Driving Retention and Engagement Through Customer Lifetime Value Analysis
We helped a leading retail enterprise unlock over $36M in topline impact by transforming its customer engagement strategy through predictive CLTV modeling. By shifting from static, spend-based metrics to dynamic, behavior-driven insights, our solution enabled precise segmentation and improved retention – driving measurable growth and long-term customer value.
Driving Operational Resilience Through Shrinkage Detection
Discover how MathCo partnered with a leading grocery retailer to drive operational resilience through shrinkage detection by establishing an anomaly detection framework, resulting in $150M+ impact on reported revenue and 8.5+ NPS Consumption Score.
Enhancing Shelf Space Efficiency in Home Improvement Retail
Discover how MathCo partnered with a leading home improvement product retailer to optimize limited shelf space by effectively designing planograms based on localized trends, maximizing sales per square foot and margin while ensuring in-demand items remained readily accessible to customers, resulting in improved shelf space utilization by ~20% increasing revenue by ~7%.
Optimizing Replenishment Strategies via Demand Forecasting
Learn how we helped a leading home improvement product retailer optimize replenishment strategies through a speedy demand forecasting system, resulting in $12.33MM monthly opportunistic costs uncovered due to forecasting BIAS improvements. By enabling more precise decision-making for purchase orders, we brought about a 66% reduction in demand planner overrides and reduced execution time from twenty to seven hours.
Impact of Operational Issues on Customer Behavior
Discover how our tailored data analysis helped a leading retail giant understand and quantify the impact of operational issues on customer behavior and NPS scores with relation to both existing members as well as those on a trial period.
Enhancing Referral Alerts: Streamlining Operations and Improving HCP Targeting
Learn how a global healthcare leader transformed its referral process with a scalable, in-house alerts system. By leveraging predictive machine learning, they enhanced referral accuracy, achieved significant cost savings, and gained full operational control for improved HCP targeting and long-term scalability.
Optimizing EHS Protocols and ML-Powered Safety Management
Discover how our tailored data-driven approach helped an energy equipment manufacturer reduce worksite incidents and improve safety measures. Learn how Environment Health and Safety (EHS) leaders leveraged incident analysis to enhance safety and operational guidance.
Demand Forecasting for Optimizing Truckloads
Optimize truckload efficiency with data-driven demand forecasting. Discover how our custom solution helped a leading battery distributor achieve a 44% load factor reduction and a projected 7x ROI through advanced analytics, improved load planning, and operational enhancements.
Demand Planner
Discover how our Demand Planner solution helped a CPG company reduce inventory holding costs by 15%, cut baseline planning time by 35%, and lower lost sales from stockouts by 20%. Through advanced AI/ML models and data integration, the client achieved precise demand forecasting and improved operational efficiency.