CPG companies increasingly struggle with inventory visibility as complex supply chains, fragmented warehouse management systems, and limited retailer data create critical gaps in CPG inventory visibility. These blind spots make it difficult to accurately track inventory levels, understand demand signals, and make informed production, warehousing, and replenishment decisions. Limited visibility can also contribute to inventory loss, excess inventory costs, and reduced supply chain efficiency, while distorting key operational and commercial performance metrics. By integrating fragmented data across warehouse and inventory management ecosystems and using advanced analytics for inventory estimation, businesses can restore transparency, improve inventory forecasting, and strengthen decision-making across the value chain.
Problem Statement
The client faced significant challenges with inventory estimation and inventory visibility due to inconsistent reporting across retail stores, with some locations updating daily while others reported weekly or monthly. This resulted in inaccurate inventory tracking, operational inefficiencies, and increased inventory loss, leading to frequent stock-outs and disruptions in inventory planning. While RFID was explored as a potential solution, its high implementation cost limited scalability. A scalable, data-driven approach to inventory forecasting and CPG inventory management became critical to restore accuracy, transparency, and control across the inventory ecosystem.
Impact
- Improved stockout detection by ~21% through enhanced inventory visibility
- Reduced inventory mismatches by ~55% through reliable stock estimation
- Infrastructure costs saved by $4.2M by eliminating the reliance on RFID setup
Access the Case Study to Learn More about This Partnership
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%.
Read more
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.
Read more
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.
Read more