Artificial intelligence ( AI ) and data-driven machine learning are helping organisations reimagine their supply chains at a time when resilience and visibility have never been more important
Today ’ s companies are using AI and analytics to mitigate risk and ensure continuity through global supply chain disruptions . These powerful tools enable organisations to automate tasks they previously never could , while providing deeper insight for faster , better decisions .
John Matchette , Senior Supply Chain & Operations MD with Accenture , is also the organisation ’ s Data & AI Solutions Lead . According to Matchette , digital twins are among the most innovative use-cases of AI in supply chains .
A digital twin is a virtual supply chain replica that represents assets , warehouses , logistics and material flows , as well as inventory positions . It can stress-test potential operational and financial risks and impacts created by major market disruptions , disasters , or other catastrophic events .
Matchette says : ” Scenario modelling has become increasingly important . Supply chain stress tests can enable companies to not only understand how resilient their
PLY CHAINS
“ In the next five years , AI and analytics will be critical to the reimagining of supply chains ”
JOHN MATCHETTE DATA & AI SOLUTIONS LEAD , ACCENTURE supplychaindigital . com 101