Companies face a variety of complex challenges in designing and optimizing their supply chains. Increasing their resilience, reducing costs, and improving the quality of their planning are just a few of them. Over the past few decades, advances in information technologies have allowed firms to move from decision-making on the basis of intuition and experience to more automated and data-driven methods. As a result, businesses have seen efficiency gains, substantial cost reductions, and improved customer service. Unfortunately, business planners and executives still need to spend considerable time and effort to understand the recommendations coming out of their systems, analyze various scenarios, and conduct what-if analyses. Updating the supply-chain-management tools’ mathematical models to reflect changes in the business environment is time-consuming as well. To address these issues, planners and executives have had to pull in data science teams or the technology providers to explain results or make changes in the system.

Full commentary : Using generative artificial intelligence will cut decision-making time from days to minutes and dramatically improve results.