AI May Be All Around Us, But Our Supply Chains Are Still Manual

Introduction to Supply Chain Vulnerabilities

Nothing is more vulnerable than supply chains – everything and anything can rock them without notice. Tariffs, weather events, political disruptions, economic issues, worker shortages, and epidemics will always disrupt even the smoothest-flowing chains. Let’s not even get started on the 2020 Covid toilet-paper crisis. And we’re seeing the potential pain Apple is facing with tariffs on its manufacturing operations in China.

The Potential of Autonomous Supply Chains

Could self-managing, autonomous supply chains help companies rapidly adjust to such disruptions? Should they? A new survey of 1,000 C-suite executives out of Accenture says supply chains are the new untamed frontier for artificial intelligence. Today, companies operate their supply chains mostly manually, the report shows, but such supply chains aren’t prepared to handle sudden disruption such as the recent tariff announcements.

Limitations of Current Supply Chains

Of course, no AI can predict political actions or natural disasters. But it can play a role in making it easier to switch off one supply route and switch on another. At this time, few executives in the Accenture’s survey currently have autonomy built into their supply chains – the average company’s supply chain is only 21% autonomous. “Few companies use AI to adjust sourcing strategies, reroute logistics and recalibrate inventory positions with minimal human intervention," the report states.

Current Priorities and Challenges

Only 25% of companies indicated that autonomous supply chains were a key priority for them. Only a very small fraction, four percent, aspired to reach full autonomy. Advancing autonomy in supply chains is “held back by concerns like data privacy, poor data quality, immature processes, and low trust in AI.”

Overcoming Challenges to Achieve Autonomy

There are two tall orders for achieving greater autonomy in supply chains. First, start with shattering functional silos, the researchers advise. “Autonomous decision-making requires unprecedented transparency across functions, processes and dependencies. Without end-to-end visibility, even the most sophisticated AI systems will fail to deliver meaningful value.” Processes also need to be simplified. “Companies that streamline operations and standardize processes will scale technology faster, adapt more quickly and accelerate AI learning cycles.”

Future of Autonomous Supply Chains

We’re likely not likely to see significant progress in supply-chain autonomy for at least 10 years, the researchers predict. By then, approximately 40% aspire to achieve a higher degree of autonomy where the system handles most operational decisions.

Characteristics of Autonomous AI-Powered Supply Chains

What does an autonomous AI-powered supply chain look like? Current automated systems "follow pre-set instructions and require human oversight – think of the cruise control function in a typical car," the Accenture team explained. “Autonomous systems include a degree of automation but go beyond it. They are enabled by AI agents that make decisions and perform tasks without human intervention.”

Benefits of Autonomous Supply Chains

Most executives agree that autonomous supply chains can deliver tangible advantages. Survey respondents expect a 5% increase in net income and 7% improvement in return on capital employed. Operationally, companies could slash order lead times by 27%, and boost productivity by 25%. Survey respondents believe autonomous supply chains to shorten the time it takes them to react to shocks by at least 62%, and recover from disruption 60% faster compared to today’s existing networks.

Implementation Strategies

The Accenture team advises business leaders to “build solid data foundations through a secure digital core, which standardizes platforms and governance frameworks.” Companies should also “invest strategically in AI-enabling technologies, starting with targeted pilots before scaling proven solutions.” Most importantly, they need to “restructure how people and technology collaborate, shifting human roles from routine execution to strategic guidance and oversight.”

Conclusion

Autonomous supply chains represent a significant untapped frontier for artificial intelligence, with the potential to deliver substantial benefits to companies in terms of increased efficiency, productivity, and resilience. While there are challenges to be overcome, the rewards of investing in autonomous supply chains are clear, and companies that take the lead in this area are likely to reap significant advantages.

FAQs

Q: What is the current state of autonomy in supply chains?
A: The average company’s supply chain is only 21% autonomous, with few companies using AI to adjust sourcing strategies, reroute logistics, and recalibrate inventory positions with minimal human intervention.
Q: What are the benefits of autonomous supply chains?
A: Autonomous supply chains can deliver a 5% increase in net income, 7% improvement in return on capital employed, 27% reduction in order lead times, and 25% boost in productivity.
Q: How can companies achieve autonomy in their supply chains?
A: Companies should start by shattering functional silos, simplifying processes, building solid data foundations, investing strategically in AI-enabling technologies, and restructuring how people and technology collaborate.
Q: When can we expect to see significant progress in supply-chain autonomy?
A: Significant progress is likely to take at least 10 years, with approximately 40% of companies aspiring to achieve a higher degree of autonomy by then.