DARCY MACCLAREN
OPERATIONS
the interface for practitioners to engage in extensive data analysis to enhance supply chain resiliency .
“ The future promises an autonomous era , defined by software that can operate with minimal human intervention , powering more efficient and responsive supply chains ,” she adds .
“ This evolution paves the way for operational AI – the practical application of AI into day-to-day business operations and processes . Operational AI enables companies to connect digitally and optimise their operations across product and asset life cycles . It transforms supply chains with AI -driven insights , recommendations and integrated automation .”
The key , Darcy says , is ensuring AI is embedded across an organisation ’ s entire supply chain strategy so that anyone can tap into its benefits .
She continues : “ By investing in operational AI , businesses can create a single , constant digital process across the supply chain and guide decisions with real-time operational and business data , enabling the autonomous supply chain .”
AI unlocks full value of data As Darcy indicates , Gen AI and machine learning hold the potential to greatly enhance supply chain efficiency and resilience across countless industries .
By utilising natural language , supply chain leaders can quickly access information , navigate systems or implement changes without needing to be in a specific application .
DARCY MACCLAREN
TITLE : CHIEF REVENUE OFFICER
COMPANY : SAP DIGITAL SUPPLY CHAIN
INDUSTRY : TECHNOLOGY LOCATION : NEW YORK CITY , US
As Chief Revenue Officer of SAP Digital Supply Chain , Darcy MacClaren leads a global team in navigating the complexities of the ever-changing supply chain landscape . Her role spans the entire ecosystem – from product design and manufacturing to operations , delivery , scheduling and planning . Darcy has spent more than three decades in the supply chain sector .
The result ? Manual and repetitive tasks are reduced , time is saved and errors are minimised .
With Gen AI tools at their disposal , leaders can unlock the full value of data , uncover new insights , identify efficiencies and , ultimately , drive stronger business results .
“ These advanced AI tools help to automate complex tasks and improve the decision-making accuracy of operations ,” Christoph emphasises .
“ Gen AI can also be used in product design and to optimise operational processes , while machine learning is being used to analyse data to predict future outcomes including customer demand .”
84 November 2024