AILatest NewsTechnology

Companies with Next-Generation Supply Chain Capabilities Achieve 23% Greater Profitability, Shows New Research from Accenture

New research from Accenture (NYSE: ACN) finds that companies with the most mature supply chains are 23% more profitable than their peers. These leaders are six times as likely to use AI and generative AI widely across their supply chains, which allows them to generate additional business value.

For the report, “Next stop, next-gen,” Accenture analyzed 1,148 companies across 15 countries and 10 industries. It defines supply chain maturity as the extent to which companies have supply chain capabilities that use generative AI, advanced machine learning and other evolving technologies for autonomous decision-making, advanced simulations and continuous improvement. These capabilities enable companies to adapt more readily to changes as they happen and adopt other new technologies seamlessly as they emerge.

The report shows that “Leaders”—the 10% of companies scoring highest on the maturity scale—achieved 23% higher margins than their peers (11.8% vs. 9.6%) between 2019 and 2023. At the same time, they delivered 15% better returns to shareholders (8.5% vs. 7.4%).

“Leaders are investing heavily in increasingly sophisticated technologies—especially AI and generative AI—to build the next generation of supply chain capabilities,” said Max Blanchet, Accenture’s global strategy lead for supply chains and operations. “These capabilities are essential to reinvent supply chains for efficiency, agility, sustainability and resilience. They enable leaders to move beyond traditional supply chain drivers consisting of cost, quality and delivery, which is causing many supply chain vulnerabilities and inefficiencies today and in the future.”

While only 9% of all companies use AI and generative AI widely across their supply chains, substantially more leaders already do (37%) compared to just 6% of their peers. Leaders are also expecting to see significant benefits. They are eight times as likely to reduce the time it takes to develop and launch new products by 30%, 8.5 times as likely to develop eco-friendly products, and six times as likely to improve the efficiency of engineering resources by 30%.

However, the bigger picture painted in the report is alarming. While the average supply chain maturity score has jumped by more than 50% between 2019 and 2023, the average score across all companies remains low, at just 36%. It varies across industries and countries—from 22% in Mexico to 52% in Japan, and from 31% for consumer goods companies to 40% for aerospace and defense firms.

“If we compare supply chain maturity to the evolution of navigation—from following the stars to driving semi-autonomous vehicles—many of us are still running supply chains on a mix of paper maps and first-generation satnavs,” said Melissa Twining-Davis, Accenture’s global operations lead for supply chains. “The next-generation capabilities that exist, such as generative design to develop products, highly automated facilities to produce them, and advanced analytics and machine learning to predict supply roadblocks, are just at the beginning. The reinvention potential ahead is massive.”

According to the report, these are the supply chain capabilities companies need to be competitive in today’s economic context. They no longer operate in a time of stable economic growth and frictionless globalization. This means the old supply chain levers, such as global low-cost sourcing and specialized factories in low-cost locations, aren’t sufficient anymore.

Max Blanchet added: “Reinventing supply chains requires the ability to, for example, monitor suppliers up to the fourth and fifth tier in near-real-time to anticipate risks, change the production on short notice, and simulate the entire lifecycle of a product. Next-generation supply chains will autonomously adapt to change and be sustainable by design. Companies with supply chain maturity scores of 25% or lower—almost one in three companies—must act fast to catch up. Otherwise, there is a real risk they won’t survive in today’s new economic and industrial context.”

Today we live in a T-shaped world. While broad knowledge across the ecosystems is critical, deep insights and expertise of Subject Matter Experts help organizations leapfrog. At IndiaTechnologyNews, we cover much more than news, views and analysis, and we feature SMEs to help translate their knowledge to wider audiences. Reach me at

You may also like

More in AI