Inventory Optimization

Meet your target customer service levels with minimum tied up capital and lowest possible inventory costs. EazyStock optimizes safety stock and reorder points, and the width and depth of the assortment to be kept in stock, as a function of the desired service level.

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Optimized Inventory Ordering

To optimize the inventory, different products and assortments need to be controlled in various ways, which require a differentiated purchasing and inventory management policy. EazyStock classifies all products with the help of a multi-dimensional ABC methodology and define all the inventory parameter settings based on volume, value of annual usage, product value and frequency.

The result is an inventory policy, in the form of a matrix, which is used to define service level and what type of products that should be stocked and non-stocked. This dynamically optimizes the product mix over time as market conditions changes. Products are controlled by the inventory parameters set in the system, which drives the optimization of stock levels. Inventory and replenishment parameter data can be integrated and pushed directly into any enterprise resource planning (ERP) system.

The forecasting module in combination with the inventory optimization module ensures that each product at each location has a dynamic stock-position and order-level. This ensures the right balance between working capital and service levels.

Eazystock Application dashboard on an iMac

“What-if” inventory simulations

EazyStock’s powerful simulation engine enables users to predict the effects of strategic and tactical changes by testing different parameter settings. Different scenarios for inventory policies and service levels are tested in real time and the what-if simulation shows what will happen with the inventory in terms of future capital invested and target service level.
Run dynamic simulations to systematically drive up service levels or reduce your costs by simulating a leaner warehouse environment.

White Paper - 7 Ways to Fix Inventory Turnover Challenges


  • Reduce inventory levels by 10%-30%
  • Increase customer service levels
  • Increase inventory turns
  • Optimize safety stock levels
  • Eliminate excess inventory and reduce obsolescence costs
  • Reduce stock-outs and minimize backorder cost
  • Personnel can proactively plan rather than react to unforeseen problems


  • Inventory policies and stocking strategies address changing market conditions, business objectives and customer buying behavior
  • Automate optimization of what to stock and what not to stock
  • Calculate optimal inventory and replenishment parameters based on policies, lead times, costs and targeted service levels
  • Robust what-if scenario capabilities to test stocking policies
  • Use advanced exception management to automatically detect and self-correct problems
  • Seamlessly integrate with any ERP system

Questions? We have answers!Man with Computer

If you have questions about product features, implementation, optimization, or anything else, please connect with us. We will help you immediately.