Treffer: Modeling, simulation, and forecasting through rapid model deployment AI platform.

Applied simulation and computer technologies are pivotal in optimizing logistics, supply chain management, production control, business processes, and industrial organization. Yet, the traditional pipeline for building, calibrating, and deploying high-fidelity simulation models remains time-intensive and technically demanding. This paper presents ARTI DSML—an AI-driven, no-code platform that automates end-to-end model generation, parameter tuning, and forecasting with rapid turnaround. By providing paradigm-agnostic support for discrete-event, agent-based, and system-dynamics models, ARTI DSML democratizes simulation across non-expert stakeholders. The platform is validated through comprehensive case studies in warehouse logistics, multi-echelon supply chains, production line control, and business process forecasting. Results show swift deployment, high model fidelity, and notable forecasting improvements compared to baseline methods. This paper contributes to the existing body of knowledge by demonstrating how AI-driven, no-code simulation platforms can streamline model development, enhance forecasting accuracy, and expand accessibility for diverse industrial applications. This contribution fills the research gap of experimenting with a single optimization platform in various areas of business and engineering. [ABSTRACT FROM AUTHOR]