04/28/2025 | Press release | Archived content
Asked about how supply chain management technology is evolving, Acoba pinpointed three recent developments.
First, she noted the growth in embedded and connected solutions that can help organizations not only understand risk but grasp its end-to-end implications for their supply chain operations. Then, she highlighted two key use cases for AI: helping to fill data gaps, and supporting process mapping and decision intelligence, to "identify those weak points in resilience, before the pressure is on them, and address them upfront."
Guillet-Caillot explained that new supply chain management technology is improving the ingestion of structured and unstructured data, providing Supply Chain leaders with more timely, relevant insights.
"[Technology] is helping us to bring more facts to the discussion, and to really bring more speed to decisions," said Guillet-Caillot. "In the past, I still remember sitting in discussions which were dragging on for months," he added. "We simply cannot afford that any longer. Because if you're talking months, by the time you have a recommendation, it's already almost obsolete."