Driven by COVID-19 Disruptions to Find a Better, Data-Driven Way to Manage Food Supply Chain Risk
The COVID-19 pandemic emphatically laid bare the supply chain and supplier vulnerabilities that we face in our increasingly global food supply chains. Last month my company, Mesh Intelligence, convened a group of 14 leading supply chain, risk, sourcing and food safety executives drawn from some of the largest and most innovative food companies around the globe and in all aspects of the supply chain—from manufacturing, importing, distribution, logistics and retail. They volunteered their time to explore new solutions to better manage risk in their global food supply chains and are working together to develop and guide a lasting solution to address the challenges they faced across the past few months and manage supply chain in a more uncertain environment.
Zeroing In on the Need for Practical Solutions to Address Critical Issues
The group discussed how the tools and processes they currently use to manage supply chains are inadequate in identifying the scale, scope and intensity of new issues that arose during the pandemic and, more importantly, how these solutions need to be augmented in the future. To zero in on practical solutions, this group focused on the most critical challenges to address; understanding the best practices to tackle these issues; and guiding the development of data driven, practical and scalable solutions to predict risk.
Key insights from the group discussion include:
- The need for early, actionable warning on risk. Food organizations are seeking actionable, early warning signals about upcoming supply chain issues. Risk alerts, if they do exist, currently tend to be disaggregated and dispersed within an organization and executives struggle to understand the full picture.
- The need to communicate risk across the organization and the supply chain. Executives are seeking ways to communicate forecasted risk in fact-based and data-driven ways across key stakeholders within and outside the organization. There was clear interest in ways to engage suppliers and parties up and down the supply chain.
- Focusing on the most important risks and scenario planning a workable approach. Organizations are seeking ways to future proof their supply chains and increase resilience. By ensuring that their strategies are tested to withstand likely scenarios and situations, organizations improve their ability to work under increased uncertainty.
- The ability to continuously monitor and vet suppliers, even in a remote setting. Organizations are looking to get ahead of supplier issues and are seeking ways to work with suppliers to continuously monitor, vet and manage issues as they arise. This requires increased transparency and greater communication across parties in the supply chain.
Participants of the group are also getting early access to the solution and data to support them in their food safety and supply chain risk management efforts. The group will continue to meet on over the next few months to continue to guide the development of a food supply chain risk management solution. We look forward to keeping you updated. If you have insights on this issue, we encourage you to reach out. If you are interested in learning more about us or joining the group, please contact us at nicole@meshintel.com
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About The Author
Shub Degupta
CEO & Founder
Shub Debgupta is the founder and CEO of Mesh Intelligence, an advanced data analytics company that helps food organizations predict, plan for, manage and avoid costly food safety and supply chain disruptions. Mesh uses AI, deep analytics and its proprietary supply chain database to give organizations advance warning and tools to help address issues in time and lower cost. Degupta’s work on Mesh was recently featured on the New York Times, NPR and NBC News. Degupta has previously worked at CEB (now Gartner), Credit Suisse and WiserTogether where he was selected as the Innovator of the Year and was a finalist for E&Y’s Entrepreneur of the Year award. He has a Ph.D. in economics from Cornell University.