The ROI of Inventory Reduction
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?
FAQs: Digging into the Arkieva Virtual Mailbag
We’ve spoken to a lot of people over the years. Here are the answers to some of our most commonly asked questions.
5 Steps to a Global Collaborative Demand Planning Process
Every business can benefit from having a proper demand plan. A pivotal part in this process is collaboration.
The Hippocratic Oath for Forecasters
Is there an equivalent to the Hippocratic Oath for forecasters? What harm(s) can a forecaster easily avoid? This blog explores some examples.
The Intersection of Supply Chain and Customer
Countless businesses around the globe are rolling out new products, building out infrastructure, and fighting for market share. In these disruptive times, there is immense pressure for supply chain leaders to deliver the goods despite strong supply-side headwinds and fickle customers.
Tools of the Trade: Production Activity Alternative Views – “Starts” and “Outs”
Since the beginning of time, alternate but related views of production have existed: historically called “starts” and “outs”.
What is the ‘Secret Sauce’ to Improve Demand Planning?
Successful demand planning requires a stable and sustainable planning process that is continuously reviewed and improved.
5 Key Supply Chain Assessment Benchmarks
If you're looking to improve your supply chain management systems, these quick tips can help you get started.
Building the ROI Case for Demand Planning
Businesses spend a lot of time and money in improving their demand planning. However, the ROI is not always forthcoming. How much is a 1% improvement in forecast accuracy worth to the business?
Part 3: How NLP Benefits the Supply Chain – Internal Structured Data
This blog discusses how utilizing a semantic parsing method can help a less experienced user transform their data questions into advanced database queries, and how it can help detect errors in datasets.