March 25, 2020 By Jonathan Wright 2 min read

You can’t predict the future, and we can agree disruption is inevitable. However, you can prepare for these disruptions.

In order to quickly react to escalating situations and help reduce impact, supply chain leaders need to consider enhancing structural risk management and visibility into the tertiary supply base. The data generated can enable smarter collaboration, and the ability to predict future patterns and proactively anticipate disruption.

Reduce impact through fast response times

Today’s global supply chains are complex. With numerous partners across multiple geographies, the result is in an intertwined global trade ecosystem–highlighted by the volatility of the current market. Organizations can experience upstream and downstream issues more intensely during times of disruption. Gaining visibility to and understanding the potential risks that can rapidly disrupt tier 2 and tier 3 suppliers can help organizations better plan for these situations.

Prepare for the future with a reimagined supply chain

To help better prepare for future, unpredictable events, enterprises should consider reimagining their supply chain processes as intelligent workflows to reach new levels of responsiveness. By creating intelligent workflows that challenge siloed processes, supply chain leaders can uncover efficiencies across processes and partners.

These new supply chain workflows, supported by AI and other emerging technologies such as automation, blockchain, IoT, 5G and edge computing, can help deliver desired outcomes at scale. Using the new workflows, you can help predict emerging patterns of unanticipated disruption and strengthen your global supply chain by providing quick response times and greater preparation for unpredictable events.

Transformation opportunities can be available at any step of the value chain, from demand planning, to manufacturing execution or order orchestration and fulfillment.

Intelligent workflows can help transform the intersection of people, processes and technology and enable supply chain professionals to deliver more effective and efficient strategies. They help provide information flow and decision rights to optimize environments that continually change.

Plan for the unpredictable

While you can’t see the future, you can learn from past experiences to better prepare. There will always be unforeseen challenges that arise. By understanding your organization’s response and implementing strategies to help mitigate risks, you can help reinforce your supply network and strengthen your global supply chain.

If you would like to learn more about transforming your supply chain to withstand disruptions, IBM professionals are here to help.

Was this article helpful?

More from Cloud

IBM Tech Now: April 8, 2024

< 1 min read - ​Welcome IBM Tech Now, our video web series featuring the latest and greatest news and announcements in the world of technology. Make sure you subscribe to our YouTube channel to be notified every time a new IBM Tech Now video is published. IBM Tech Now: Episode 96 On this episode, we're covering the following topics: IBM Cloud Logs A collaboration with IBM and Anaconda IBM offerings in the G2 Spring Reports Stay plugged in You can check out the…

The advantages and disadvantages of private cloud 

6 min read - The popularity of private cloud is growing, primarily driven by the need for greater data security. Across industries like education, retail and government, organizations are choosing private cloud settings to conduct business use cases involving workloads with sensitive information and to comply with data privacy and compliance needs. In a report from Technavio (link resides outside, the private cloud services market size is estimated to grow at a CAGR of 26.71% between 2023 and 2028, and it is forecast to increase by…

Optimize observability with IBM Cloud Logs to help improve infrastructure and app performance

5 min read - There is a dilemma facing infrastructure and app performance—as workloads generate an expanding amount of observability data, it puts increased pressure on collection tool abilities to process it all. The resulting data stress becomes expensive to manage and makes it harder to obtain actionable insights from the data itself, making it harder to have fast, effective, and cost-efficient performance management. A recent IDC study found that 57% of large enterprises are either collecting too much or too little observability data.…

IBM Newsletters

Get our newsletters and topic updates that deliver the latest thought leadership and insights on emerging trends.
Subscribe now More newsletters