Journal of Business Forecasting Volume 38 | Issue 2 | Summer 2019

The lead article of this issue deals with the anticipated economic slowdown and how to manage demand in such an event, written by a director of demand planning who has seen multiple recessions during his career. Pat Bower offers practical advice on how to plan before recession hits, and how you can gain insight into how your consumers will react by digging into your own data. He also reveals how to know which specific economic indicators affect which products, allowing you to anticipate impact on specific SKUs ahead of time, and how to use predictive analytics to correlate your demand curve with different severities of economic downturn.

We don’t know when the next recession will hit, or how severe it will be, but we know it’s coming - this could be the most important article you ever read as a demand planner, forecaster or S&OP professional.

Other highlights of this issue include a comprehensive guide to predictive analytics algorithms and tools which will help forecasters and data scientists succeed in the age of AI, as well as some potentially groundbreaking ideas on how programmatic advertising can be connected to demand planning systems allowing for real time e-commerce demand shaping.

Summer 2019

Journal of Business Forecasting Volume 38 | Issue 1 | Spring 2019

As ever, when new technology promises to revolutionize your business, it is nothing without the tried and true processes needed to support it. This issue offers readers a non-nonsense, practical guide to machine learning, and a clear road map for adopting it in your organization. Written by a leading expert in the field, Hank Canitz (Logility), the lead article details what AI, machine learning and predictive analytics are, and what it really takes to leverage them as a tool for growth. In this issue, you’ll learn what new skills are required to support this technology, and how to engage in effective change management to facilitate widespread acceptance and adoption. You’ll also find invaluable tips to present a business case for machine learning to senior leadership to secure the investment required.

Other highlights of this issue include engaging Customer Service for better forecasting and S&OP, which, Pat Bower, (Sr. Director of Supply Chain Planning & Customer Service at Combe Inc,) argues is an obvious and yet overlooked source of insight. What’s more, we bring you very modern lessons from an old-school supply chain problem - that of the Newsboy. Delving into the differences between Walmart and Amazon, Dr. Larry Lapide (MIT) uses the Newsboy problem to reveal the supply chain challenges facing these two retail giants.

Spring 2019

Journal of Business Forecasting Volume 37 | Issue 4 | Winter 2018-2019

This special issue is written almost entirely by women in demand planning. With different perspectives on the field, you’ll not only gain technical insight relating to performance indicators, forecast accuracy and bias, but also collaborative skills and business acumen that allow analytics and number crunching to drive growth.

You’ll be treated to thought-provoking approaches to demand planning, including how Liberal Arts can provide a solid foundation for success in this field, and how soft-skills are key to not only collaborating with business partners, but also in driving your own success.

The lead article is especially important because it deals with the transition from forecast analyst to data science. For those looking to evolve in the artificial intelligence and machine learning age, it is a must-read, and provides very practical advice from somebody who has made the move already.

Winter 2018

Journal of Business Forecasting Volume 37 | Issue 3 | Fall 2018

The Journal of Business Forecasting has been providing demand planning, forecasting, supply chain, and S&OP/ IBP practitioners with jargon-free articles on how to improve the value of their roles and company performance from improved forecasting and planning for over 30 years.

Fall 2018

Journal of Business Forecasting Volume 37 | Issue 2 | Summer 2018

The Journal of Business Forecasting has been providing demand planning, forecasting, supply chain, analytics, and S&OP practitioners with jargon-free articles on how to improve the value of their roles and company performance for over 30 years.

Summer 2018

Journal of Business Forecasting Volume 37 | Issue 1 | Spring 2018

The Journal of Business Forecasting has been providing demand planning, forecasting, supply chain, and S&OP/ IBP practitioners with jargon-free articles on how to improve the value of their roles and company performance from improved forecasting and planning for over 30 years.

Spring 2018

Journal of Business Forecasting Volume 36 | Issue 1 | Spring 2017

The Journal of Business Forecasting has been providing demand planning, forecasting, supply chain, and S&OP/ IBP practitioners with jargon-free articles on how to improve the value of their roles and company performance from improved forecasting and planning for over 30 years.

Spring 2017

Journal of Business Forecasting Volume 36 | Issue 2 | Summer 2017

The Journal of Business Forecasting has been providing demand planning, forecasting, supply chain, and S&OP practitioners with jargon-free articles on how to improve the value of their roles and company performance from improved forecasting and planning for over 30 years.

Summer 2017

Journal of Business Forecasting Volume 36 | Issue 3 | Fall 2017

The Journal of Business Forecasting has been providing demand planning, forecasting, supply chain, and S&OP/ IBP practitioners with jargon-free articles on how to improve the value of their roles and company performance from improved forecasting and planning for over 30 years.

Fall 2017

Journal of Business Forecasting Volume 36 | Issue 4 | Winter 2017-2018

The Journal of Business Forecasting has been providing demand planning, forecasting, supply chain, and S&OP/ IBP practitioners with jargon-free articles on how to improve the value of their roles and company performance from improved forecasting and planning for over 30 years.

Winter 2017

Journal of Business Forecasting Volume 35 | Issue 4 | Winter 2016-2017

The Journal of Business Forecasting has been providing demand planning, forecasting, supply chain, and S&OP/ IBP practitioners with jargon-free articles on how to improve the value of their roles and company performance from improved forecasting and planning for over 30 years.

Winter 2016

Journal of Business Forecasting Volume 35 | Issue 3 | Fall 2016

The Journal of Business Forecasting has been providing demand planning, forecasting, supply chain, and S&OP practitioners with jargon-free articles on how to improve the value of their roles and company performance from improved forecasting and planning for over 30 years.

Fall 2016

Journal of Business Forecasting Volume 35 | Issue 2 | Summer 2016

The Journal of Business Forecasting has been providing demand planning, forecasting, supply chain, and S&OP practitioners with jargon-free articles on how to improve the value of their roles and company performance from improved forecasting and planning for over 30 years.

Summer 2016

Journal of Business Forecasting Volume 35 | Issue 1 | Spring 2016

The Journal of Business Forecasting has been providing demand planning, forecasting, supply chain, and S&OP practitioners with jargon-free articles on how to improve the value of their roles and company performance from improved forecasting and planning for over 30 years.

Spring 2016

Journal of Business Forecasting Volume 34 l Issue 4 l Winter 2015 - 2016

The Journal of Business Forecasting has been providing demand planning, forecasting, supply chain, and S&OP practitioners with jargon-free articles on how to improve the value of their roles and company performance from improved forecasting and planning for over 30 years.

Winter 2015

Journal of Business Forecasting Volume 34 l Issue 3 l Fall 2015

The Journal of Business Forecasting has been providing demand planning, forecasting, supply chain, and S&OP practitioners with jargon-free articles on how to improve the value of their roles and company performance from improved forecasting and planning for over 30 years.

Fall 2015