Every supply chain planner’s goal is to provide the highest degree of customer service while reducing inventory in the supply...

Whether you are a manufacturer, retailer or distributor, inventory is likely one of your largest assets – after cash of course. Managing this asset takes a cross-functional team, all (hopefully) moving in the same direction. Weak management of the inventory process results in a porous supply chain.

It’s the midpoint of summer and a good time to catch up on “summer reading”. For us at Arkieva, that means digging into industry reports and predictions. Here are a few articles that recently caught our eye.

Demand forecasting is often done in planning buckets such as months or weeks. But what about the pattern of demand inside a period? Whatever pattern it is, a demand planner should strive to understand it.

In any supply chain, matching the supply assets to the demand in a consistent, reliable, and profitable manner is a key requirement. This blog discusses how to create supply plans based on a sequence of rules that makes the decision-making process fast, effective, and intuitive.

The next recession is at our doorsteps. Let’s discuss what we can do to rise to the latest challenge.

The Gartner Supply Chain Symposium 2022 was filled with insights, actionable strategies, trends and more. Here we cover a few highlights.

This year’s recommended sessions range from executive leadership to lessons learned to simply getting the most out of the most recent Gartner Magic Quadrant for Supply Chain Planning.

A lot of projects propose to deliver ROI through lower levels of inventory. Servicing the demand at desired service levels with lower inventory should save the company some money. But how, exactly?

We’ve spoken to a lot of people over the years. Here are the answers to some of our most commonly asked questions.

Every business can benefit from having a proper demand plan. A pivotal part in this process is collaboration.

Is there an equivalent to the Hippocratic Oath for forecasters? What harm(s) can a forecaster easily avoid? This blog explores some examples.