TECH & AI
“ Modelling can optimise inventory in a single warehouse , as well as across the entire network , and modify inventory levels according to demand . This helps ensure products customers want are in stock , when they want them . Twins can also minimise inventory shipping distances .”
Although digital twin tech is a powerful use of AI and data , Matchette feels “ we ’ ve only scratched the surface of what analytics and AI in supply chain networks can do ”.
He points to new research from Accenture , which reveals that just 12 % of firms have advanced their AI maturity enough to achieve superior growth and business transformation .
Matchette says : “ In the next five years we ’ ll see companies reimagining supply chain networks to orchestrate change , simplify life and positively impact business , society and the planet .” AI and analytics will , he believes , “ be critical to that effort ”.
He adds : “ Companies will be able to collect data from across the supply chain network , consolidate it in the cloud and apply AI models to achieve a real-time view into the state of suppliers .”
Data-based AI modelling allows businesses to identify supply risk This , he says , will allow organisations to to proactively identify risks and predict impact across the supply chain . Examples of such risk might include :
• Identifying a supplier ’ s inability to source a vital raw material , before it impacts production
• Ensuring suppliers ’ carbon footprints are in line with agreed-upon levels
• Ensuring suppliers are sourcing materials sustainably and responsibly
104 August 2022