Tru-Stock AI Solutions

Reorder Point Optimization for Distributors

Stop spending hours building purchase orders in spreadsheets. Tru-Stock AI calculates scientifically optimal reorder points for every SKU and generates vendor-grouped purchase order suggestions automatically — so you order the right amount from the right vendor at the right time.

The Problem with Manual Reordering

Most distributors still manage reordering with spreadsheets, gut instinct, or static min/max levels that were set months or years ago. The result is predictable: stockouts on fast-moving products that cost you sales, and warehouses full of slow-moving inventory that ties up capital.

Manual reordering also fails to account for variable lead times. Ordering from a domestic supplier with 5-day delivery is fundamentally different from placing an import order with 120-day lead time — yet most distributors use the same approach for both.

How AI-Powered Reorder Optimization Works

Tru-Stock AI continuously monitors every SKU in your inventory and compares current stock levels against dynamically calculated reorder points. When inventory drops below the reorder threshold, the system generates a purchase order suggestion with the optimal quantity.

Unlike static formulas, Tru-Stock AI recalculates these values daily as new sales data comes in. If demand for a product doubles, the reorder point automatically adjusts upward. If a vendor starts delivering faster, the safety stock decreases accordingly.

Vendor-Grouped Purchase Orders

When you work with 10-30 vendors, creating individual POs is time-consuming. Tru-Stock AI consolidates all reorder suggestions by vendor, generating a single purchase order per supplier with every item that needs ordering. The system also recommends split-vendor strategies — ordering bridge stock from fast domestic suppliers while bulk quantities ship from overseas vendors at lower cost.

Safety Stock That Adapts

Safety stock is your insurance against demand variability and supplier delays. Tru-Stock AI calculates it using statistical models based on your actual demand patterns — not arbitrary rules of thumb. Fast-moving products with consistent demand get tighter safety stock. Erratic sellers get wider buffers. The result is optimal protection with minimal capital tied up.