Cost-Optimized Vendor Selection for Inventory Purchasing

Building material distributors operate in a difficult space; they are expected to have the right products available for time-sensitive jobs while managing bulky, high-value inventory and long, often uncertain lead times. In many organizations, inventory decisions are still driven by local judgment, static safety stocks, and manual purchasing, which leads to a familiar pattern: overstocked items consume working capital while critical SKUs still fall into stock-out. This paper proposes a practical inventory optimization framework tailored to building material distribution companies. It focuses on three areas: setting stock levels based on demand patterns and service targets, systematically reducing both overstock and stock-outs, and using IT-enabled controls to embed these decisions into day-to-day operations. The framework is designed to sit on top of existing ERP and warehouse systems rather than replace them, using data, simple analytical models, and guided workflows to influence how branches forecast, replenish, and buy. A key element is cost-optimized vendor selection for inventory purchasing, where branch buyers are nudged toward lower-cost vendors for the same items using transparent, system-driven vendor cost rankings. The paper outlines the core models, the supporting system design, and change management considerations, and illustrates how this approach can improve service levels, reduce avoidable inventory, and support healthier margins in a multi-branch distribution network.