Study reveals impact of Artificial Intelligence on operations and supply chain management
Efficiency and sustainability are the main gains expected from Generative AI, but governance and adoption challenges remain.
Generative artificial intelligence (Generative AI) is revolutionizing operations and supply chain management (OSCM), bringing promises of greater automation, efficiency and personalization. Tools such as ChatGPT enable more intuitive and complex interactions, accelerating the adoption of these technologies. Companies from different sectors are exploring these AI innovations in the supply chain, but implementation faces challenges related to data, technology and organizational adaptation.
In this context, researchers Maciel Queiroz (FGV EAESP), together with Samuel Fosso Wamba, Cameron Guthrie and Stefan Minner, published a study on the subject in the International Journal of Production Research. Using an exploratory and descriptive approach, the researchers analyzed 300 responses from managers of companies in the USA and the UK.
What are the benefits and challenges of using Artificial Intelligence in the Supply Chain?
The projects reported ranged from proofs of concept and prototypes to complete implementations. Companies are using Generative AI to automate processes such as demand forecasting, resource planning and inventory management. For example, companies use ChatGPT to analyse historical data and optimize stock levels. They also use it to improve customer service with quick, personalized responses.
The most cited gains were in customer satisfaction, cost reduction, process efficiency and greater automation. As for the future, two expected benefits stood out: increased sustainability and advances in automation.
The survey revealed that data quality, privacy and security are the main obstacles, followed by technological complexity and employee resistance. These challenges are linked to the early adoption phase and the need to overcome organizational and cultural barriers.
The results indicate that Generative AI is currently focused on optimizing operations and processes. However, in order to achieve strategic benefits, such as new business models and greater sustainability, companies need to overcome adoption challenges.
As such, operations and supply chain managers should consider aspects such as data governance and employee training early on to maximize results. In addition, industries should explore Generative AI not just as an operational tool, but as an opportunity for strategic transformation.
In summary, the study reinforces that Generative AI is a promising innovation for operations and supply chains, but requires careful planning to reach its full potential.
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