Business Policy Blog

Pursuing Best practices in demand planning, forecasting and inventory optimization

Four Ways to Optimize Inventory

Four Ways to Optimize Inventory

Inventory optimization has become an even higher priority in recent months for many of our customers.  Some are finding their products in vastly greater demand; more have the opposite problem. In either case, events like the Covid19 pandemic are forcing a reexamination of standard operating conditions, such as choices of reorder points and order quantities.

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Top 3 Most Common Inventory Control Policies

Top 3 Most Common Inventory Control Policies

To make the right decision, you’ll need to know how demand forecasting supports inventory management, choice of which policy to use, and calculation of the inputs that drive these policies.The process of ordering replenishment stock is sufficiently expensive and cumbersome that you also want to minimize the number of purchase orders you must generate.

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Ten Tips that Avoid Data Problems in Software Implementation

Ten Tips that Avoid Data Problems in Software Implementation

Once a customer is ready to implement software for demand planning and/or inventory optimization, they need to connect the analytics software to their corporate data stream.This provides information on item demand and supplier lead times, among other things. We extract the rest of the data from the ERP system itself, which provides metadata such as each item’s location, unit cost, and product group.

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Recent Posts

  • Inventory Planning for Manufacturers SOFTWARE Forecasting.A Beginner’s Guide to Downtime and What to Do about It
    If you manufacture things for sale, you need machines to make those things. If your machines are up and running, you have a fighting chance to make money. If your machines are down, you lose opportunities to make money. […]
  • Multiechelon software inventory management animatedAn Example of Simulation-Based Multiechelon Inventory Optimization
    Managing the inventory across multiple facilities arrayed in multiple echelons can be a huge challenge for any company. The complexity arises from the interactions among the echelons, with demands at the lower levels bubbling up and any shortages at the higher levels cascading down. […]