LOST REVENUE GROWTH IN 2021 AND 2022 DUE TO SUPPLY CHAIN DISRUPTIONS ( ACCENTURE ) planning , he warns that its practical implementation comes with challenges . “ Like any AI model , the results from LLM outputs come with varying degrees of confidence ,” he highlights . “ Their responses may not always be factually accurate , underscoring the need for guardrails and robust verification processes within planning platforms .

“ Additionally , ensuring smooth interoperability between LLMs and existing planning systems , with their diverse inputs and outputs , is essential for a seamless integration and to avoid workflow disruptions .”

LLM agents must also be adaptable to increase their utility across domains and processes . Domain experts must be able to extend the agents ’ knowledge and customise their behaviour .

Srinath says a GenAI digital assistant should provide the tools and support required to make this customisation easy and ensure alignment with a business ’ specific needs .

“ Despite these challenges , the potential of AI to enhance supply chain planning productivity and drive operational excellence is immense ,” he concludes .

“ By thoughtfully integrating GenAI into their planning capabilities , enterprises can unlock the full potential of their data , empowering their teams to make better , more informed decisions .”

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