We're back from a week from the annual Gartner Supply Chain Symposium in Orlando. My full review and comment next week.
This week, I am going to summarize the opening keynote presentation, on the autonomous supply chain, by Gartner's Lindsay Azim. So, let's get right to it.
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She added this: "Think about exploitation as the final act of the digital era. To truly unlock the potential of AI, we need to simultaneously walk a second path."
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The AI era in supply chain isn't coming, it's here, Azim said, and it must be fully embraced while still getting our day jobs done.
Gartner calls this next development the autonomous business era. This is a reset moment, Azim said, and executives agree - 8 in 10 expect autonomous business to be the dominant form of business by 2030.
However, autonomy is different for those of us in the supply chain.
"Our work is rooted in the physical movement of raw materials, boxes, and palettes across complex networks," Azim notes, adding that "Complexity is our greatest challenge. It's not just a software update. It's an ongoing journey of harmonizing people, assets, and AI agents."
This complexity is also our greatest opportunity, Azim said, noting that "All organizations will struggle to adapt to the autonomous business era. Those that adapt will be well-positioned to lead."
So what does autonomous business actually look like for supply chain? Let's start with our physical assets, our factories, warehouses, distribution centers, and eventually our fleets. These environments will likely be machine-dominated, lights out, or nearly lights out. With autonomous robots making, moving, and orchestrating products, people will supervise systems, guide decisions, and manage exceptions.
Autonomous indeed.
What's more, Azim said, driving demand will be an ecosystem of customers interacting directly with the manufacturing and fulfillment nodes. But some customers will be humans, and some customers will be machines. Machines - agents - will be placing orders, adjusting demand signals, and replenishing inventory.
 These networks will be connected by dynamic, self-evolving workflows. Humans and machines will respond to disruptions in real time, balancing trade-offs and re-optimizing plans as conditions change.
The entire supply chain will be an augmented workforce, a deliberate mix of people, agents, and robots working together with precision. While this may sound futuristic, it's closer than many realized, Azim asserted.
Gartner predicts that by 2031, 60% of supply chain disruptions will be resolved without human intervention.
Of course, not all supply chains will fulfill this vision over the next five years, and not every business unit or product will need to, but every business will be impacted by autonomy.
Azim made this important point. No matter where you are on this journey, now is the time to start preparing.
65% of companies say that they're already interacting with machine customers, so if you aren't already, you'll soon be taking orders from machine customers or negotiating with machine suppliers.
What to do?
"Success at this moment for CSCOs is not about implementing AI first, fastest, or best. Success is preparing your supply chain to compete in the autonomous business era," Azim said.
Azim identified three key action items: Invest in autonomous-ready operations, build autonomous-ready intelligence, and develop an autonomous-ready workforce.
I'll look a the first of those briefly.
Invest in autonomous-ready operations: the key is not adopting AI justo improve how things are done today. Companies need to radically rethink processes and even the business itself based on the potential of AI, Azim says.
"We need to redesign for a new paradigm. I'm talking about the shift from an automation mindset to what we call an autonomous mindset. It's a shift away from thinking about supply chains as a sequence of tasks," Azim said
"So, going forward, I want you to embrace an autonomous mindset by running on two parallel paths. The first path is called exploitation, using what we have and making it better. Optimizing AI technology by bolting it on to our current trustees to get whatever savings we can today," Azim says.
She added this: "Think about exploitation as the final act of the digital era. To truly unlock the potential of AI, we need to simultaneously walk a second path."
She calls that "exploration." Exploration is "how you move your supply chain into the autonomous era. We reimagine how work gets done and design new ways of operating that are only possible with AI," Azim observed.
Each company needs to determine the right balance between exploitation and exploration for themselves.
Later in the keynote, Azim discussed the need for a "decision stack" to be developed in parallel to an AI tech stack that defines how decisions are and will be made. This decision stack is worthwhile even without AI, but even more critical with it.
I think I will end things here. Nice job by Azim.
I'll be back next week with highlights of key breakout sessions and a review of the event overall next week.
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