Time Series Forecasting Basics

In this blog we briefly cover some key insights for successful time series forecasting: (a) Profiling the Shape of the Curve is the first stage, and the first step is assessing if the time series is stationary. (b) The forecast method identified must capture the shape and be able to project the shape across time. (c) There are limits in historical and no amount of “fancy math” can overcome them.

Data Science Without Modeling Impact is a Path to Disaster – Simulation to Explore the Impact of Group Size on COVID-19 Spread

In this blog post, we will briefly review some examples of being “COVID-19 adrift” with just data and then focus on the primary task – demonstrating how modeling can be used to understand the impact of group size on COVID-19 spread.

5 Things to Consider When Starting Your Supply Chain Digital Transformation Journey

Digital Transformation is a popular term being used in today’s supply chain world. This can mean different things for your organization based on your company’s maturity. In this blog, you will learn the five key points to consider in a supply chain transformation journey.

Demand Versus Predict Variability – Avoiding a Paint by Numbers Disaster

In this blog, we will focus on protecting your investment. The example involves demand variability versus prediction variability and its impact on inventory policy and operational efficiencies. It is loosely based on a real situation from the trenches.

Invest in Supply Chain Management Technology: Survival and Ability to Respond to Emerging Challenges

When and how to invest in supply chain management technology is a critical question for all firms that is not a one-time question but ongoing. This blog will observe the real business value is “survival and responsiveness” and elaborate on the challenges with this evaluation.

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