Skip to content
Search AI Powered

Latest Stories

Supply chain AI investment, application are on the rise

But executives say they need a better understanding of the tech’s potential and more training on generative AI at all levels.

artificial-intelligence-2167835_640.jpg

Most C-suite executives responsible for supply chain and production (87%) say they plan to invest more in generative AI, and nearly as many (85%) say they expect to reap the returns of current investments this year. That’s according to an Accenture survey of C-suite leaders across 18 countries and a variety of industries and functions, released this week.


The Accenture Pulse of Change survey polls executives on issues and technology that are driving change, how leaders are responding, and their perspectives on the future. The company surveyed 2,800 executives in March, 348 of which were responsible for supply chain, operations, and/or production.

Although supply chain leaders cited a positive outlook on generative AI, they also emphasized the need for a better understanding of the technology and its potential, as well as the need for widespread training across their organizations. And most have yet to move beyond design and initiative phases with generative AI: Just 14% of the organizations surveyed said they have progressed to fully integrating a “responsible data and AI model” into their enterprise.

According to the survey:

  • Three out of four executives (74%) said they need at least some level of training in generative AI; and 18% recognized the necessity for extensive training in this area.
  • Just 42% claim to be personally using gen AI tools at least once per week, down from 71% just six months ago.
  • More than half (54%) said they believe their organization requires intermediate-level training in the technology, such as prompt engineering and model fine-tuning.
  • Two out of five (40%) said they think the most crucial need is advanced training, such as developing generative AI models and applications.
  • Just 15% said they are highly confident they have the right data strategy and digital capabilities to use generative AI effectively.

Still, most leaders recognize the game-changing potential of AI. A separate Accenture report from earlier this year found that generative AI could automate or augment 58% of the processes in supply chains. Examples include making demand and capacity planning insights easier to understand and negotiate; enabling natural language assistants for sourcing and procurement; and generating machinery maintenance plans much faster, according to the report.

“Generative AI is already changing how chief supply chain and operating officers think about their data, talent, processes and ways of working,” Maria Rey-Marston, PhD and innovation lead for Accenture’s global supply chain and operations business, said in a statement announcing the survey’s findings. “Executives approaching generative AI merely as ‘just another technology’ will have a rude awakening. We must understand and plan for the change of work on three dimensions: Which tasks can be automated or augmented? Which people need upskilling to use the new technology? And how can organizations embrace the power of GenAI responsibly?”

Recent

More Stories

Logistics economy continues on solid footing
Logistics Managers' Index

Logistics economy continues on solid footing

Economic activity in the logistics industry expanded in November, continuing a steady growth pattern that began earlier this year and signaling a return to seasonality after several years of fluctuating conditions, according to the latest Logistics Managers’ Index report (LMI), released today.

The November LMI registered 58.4, down slightly from October’s reading of 58.9, which was the highest level in two years. The LMI is a monthly gauge of business conditions across warehousing and logistics markets; a reading above 50 indicates growth and a reading below 50 indicates contraction.

Keep ReadingShow less

Featured

diagram of blue yonder software platforms

Blue Yonder users see supply chains rocked by hack

Grocers and retailers are struggling to get their systems back online just before the winter holiday peak, following a software hack that hit the supply chain software provider Blue Yonder this week.

The ransomware attack is snarling inventory distribution patterns because of its impact on systems such as the employee scheduling system for coffee stalwart Starbucks, according to a published report. Scottsdale, Arizona-based Blue Yonder provides a wide range of supply chain software, including warehouse management system (WMS), transportation management system (TMS), order management and commerce, network and control tower, returns management, and others.

Keep ReadingShow less
drawing of person using AI

Amazon invests another $4 billion in AI-maker Anthropic

Amazon has deepened its collaboration with the artificial intelligence (AI) developer Anthropic, investing another $4 billion in the San Francisco-based firm and agreeing to establish Amazon Web Services (AWS) as its primary training partner and to collaborate on developing its specialized machine learning (ML) chip called AWS Trainium.

The new funding brings Amazon's total investment in Anthropic to $8 billion, while maintaining the e-commerce giant’s position as a minority investor, according to Anthropic. The partnership was launched in 2023, when Amazon invested its first $4 billion round in the firm.

Keep ReadingShow less
forklifts working in a warehouse

Averitt tracks three hurdles for international trade in 2025

Businesses engaged in international trade face three major supply chain hurdles as they head into 2025: the disruptions caused by Chinese New Year (CNY), the looming threat of potential tariffs on foreign-made products that could be imposed by the incoming Trump Administration, and the unresolved contract negotiations between the International Longshoremen’s Association (ILA) and the U.S. Maritime Alliance (USMX), according to an analysis from trucking and logistics provider Averitt.

Each of those factors could lead to significant shipping delays, production slowdowns, and increased costs, Averitt said.

Keep ReadingShow less
chart of robot adoption in factories

Global robot density in factories has doubled in 7 years

Global robot density in factories has doubled in seven years, according to the “World Robotics 2024 report,” presented by the International Federation of Robotics (IFR).

Specifically, the new global average robot density has reached a record 162 units per 10,000 employees in 2023, which is more than double the mark of 74 units measured seven years ago.

Keep ReadingShow less