Sorry, but your login has failed. Please recheck your login information and resubmit. If your subscription has expired, renew here.
Over the past years, demand planning has become a relatively routine task for many planners. While still not perfect, many firms established S&OP processes, took advantage of sophisticated ERP systems and introduced new AI tools. This resulted in higher levels of planning accuracy than ever before. However, the COVID-19 pandemic triggered unprecedented demand shocks—both up and down—and amplified volatility across many industries. This was (and still is) a stress test for demand management processes. Here, we require new best-practices to achieve crucial visibility.
As the virus started to spread across the globe, many industries were hit by developments that were hard to imagine before (see Figure 1). The lock-downs—first in China and later across the globe—forced many manufacturers and retailers to shut down their operations. Major manufacturers like Ford, Volkswagen and Boeing closed many of their factories. Likewise, non-grocery retailers like Apple, Zara or Ikea were not considered essential and had to shut their stores in many countries.
As a consequence, orders at suppliers and more upstream partners dropped significantly— often all the way down to zero. Similarly, other demands have structurally decreased due to changing behaviors and new circumstances, everything from special potato varieties used for French fries in restaurants to luxury goods affected by travel bans on Chinese tourists to spare parts for aircraft affected by the grounding of entire fleets.

This complete article is available to subscribers only.
Log in now for full access or start your PLUS+ subscription for instant access.
SC
MR
Sorry, but your login has failed. Please recheck your login information and resubmit. If your subscription has expired, renew here.
Over the past years, demand planning has become a relatively routine task for many planners. While still not perfect, many firms established S&OP processes, took advantage of sophisticated ERP systems and introduced new AI tools. This resulted in higher levels of planning accuracy than ever before. However, the COVID-19 pandemic triggered unprecedented demand shocks—both up and down—and amplified volatility across many industries. This was (and still is) a stress test for demand management processes. Here, we require new best-practices to achieve crucial visibility.
As the virus started to spread across the globe, many industries were hit by developments that were hard to imagine before (see Figure 1). The lock-downs—first in China and later across the globe—forced many manufacturers and retailers to shut down their operations. Major manufacturers like Ford, Volkswagen and Boeing closed many of their factories. Likewise, non-grocery retailers like Apple, Zara or Ikea were not considered essential and had to shut their stores in many countries.
As a consequence, orders at suppliers and more upstream partners dropped significantly— often all the way down to zero. Similarly, other demands have structurally decreased due to changing behaviors and new circumstances, everything from special potato varieties used for French fries in restaurants to luxury goods affected by travel bans on Chinese tourists to spare parts for aircraft affected by the grounding of entire fleets.
SC
MR

Latest Supply Chain News
- What options do you really have? Shaping the supply chain resilience funnel
- Nexus suppliers: Hidden anchors of resilience in decentralized supply chains
- Developing the next generation of supply chain leaders: Is higher education serving the needs of the marketplace?
- The value proposition: Bridging the skills gap between the SCM degree and the workplace
- Lead time economics: What semiconductor supply chains reveal about strategic planning
- More News
Latest Podcast

Explore
Business Management News
- CSCOs need plant leaders to close the manufacturing transformation gap
- AI is reshaping the last meter of delivery
- The Digital Supply Chain Imperative: From Visibility to Execution
- AI runs on compute; scaling it runs on logistics
- Wayfair executive to share lessons from building a tech-driven delivery network in NextGen Keynote
- Surging AI adoption doesn’t match mass layoff narrative
- More Business Management
Latest Business Management Resources

Subscribe

Supply Chain Management Review delivers the best industry content.

Editors’ Picks
