Oracle Replenishment Optimization

Retailers today have thousands of items in hundreds of stores, provided by countless suppliers, and distributed through dozens of warehouses via thousands of purchase orders. Each item has its own unique demand pattern for each location, cost, vendor lead-time, pack configuration, transportation cost, and more.

It is important to accurately manage these numerous variables to achieve inventory balance. Oracle Retail Replenishment Optimization balances all variables and constraints to create the optimum inventory balance to set and achieve service level goals while optimally managing inventory. The system examines all of the possible tradeoffs involved in managing inventory replenishment and the impact they have on the business, and then makes the best recommendation.

Oracle Retail Replenishment Optimization is a new evolution of scientifically based, mathematical processes, that applies advanced predictive and simulation techniques to balance store/item level demand and supply constraints, while determining optimal replacement methods to improve in-stock conditions, to reduce inventory costs, and to deliver superior service levels.