Kinaxis Achieves 12X Faster Supply Chain Planning with NVIDIA AI Integration
Kinaxis Inc. has enhanced its Maestro platform for supply chain optimization using NVIDIA cuOpt, achieving up to 12X faster planning performance. The time for large-scale planning cycles has been reduced from over three hours to approximately 17 minutes, significantly improving efficiency for organizations. This advancement supports over 400 enterprises managing more than $200 billion in inventory, allowing for rapid scenario iteration and more adaptive decision-making.
Theia Market Signal Identification - AI Assisted
Kinaxis has achieved a 12X improvement in supply chain planning performance through the integration of NVIDIA cuOpt into its Maestro platform. This advancement enables planning cycles to drop from over three hours to about 17 minutes, particularly in a semiconductor planning model with nearly 50 million decision variables.
The optimization process has improved core solve time by 23X, reducing computational time by over 95%. The shift facilitates interactive scenario iterations, allowing organizations to respond more swiftly to production constraints and demand changes.
Kinaxis supports over 400 enterprises and generates more than 250,000 scenarios monthly, enhancing agile decision-making in complex supply chains. Kinaxis will present these advancements at NVIDIA GTC 2026.
Comments