Food and drinkware manufacturer Stanley 1913 is tapping artificial intelligence software from Kinaxis to predict and prevent supply chain disruptions.
By using Kinaxis’ Maestro platform, Stanley 1913 aims to identify supply chain hurdles in real-time and implement swift mitigation actions, according to an Oct. 28 press release from the technology company.
“We have explored the use of advanced predictive analytics through machine learning and artificial intelligence, allowing us to gain end-to-end supply chain visibility and enabling powerful scenario planning to facilitate sustainable growth,” Karthik Sivakumar, VP of supply chain and operations at Stanley 1913, said in the release.
Leveraging the supply chain solution will also help Stanley 1913 keep its “carbon footprint to a minimum,” Sivakumar added.
Kinaxis introduced the Maestro platform earlier this year at its Kinexions 2024 event.
To break down supply chain planning silos, Maestro takes in data from a full supply chain ecosystem — including functions like procurement, production, planning and fulfillment — to provide a real-time view of a company’s supply chains, Kinaxis President and CEO John Sicard said during a Q2 earnings call in August.
“Maestro is our AI-infused supply chain orchestration platform that provides full real-time transparency and agility across the entire supply chain, fusing together planning and execution and managing everything from multi-year planning horizons, down to the second factory execution and last mile delivery,” Sicard said on the call.
This story was first published in our Operations Weekly newsletter. Sign up here.
