Business Optimisation

Business optimization aims to improve operational efficiency and cost-effectiveness, ultimately enhancing competitiveness. Current research emphasizes a shift from predictive to prescriptive models, utilizing techniques like reinforcement learning and causal inference to directly optimize decision-making, rather than simply forecasting outcomes. This involves developing frameworks for problem formulation, often leveraging large language models to streamline the process, and employing personalized policies based on detailed analyses of causal relationships within business processes. The impact of this research is seen in improved resource allocation, enhanced customer engagement, and more effective strategies across diverse sectors, such as energy markets and e-commerce.

Papers