The need for effective and ecological packaging solutions has grown crucial as the packaging business grows due to rising demand from industries including food, medicines, and e-commerce. Widely employed in logistics, corrugated boards need strict quality control and optimization to guarantee their performance and longevity under mechanical loading. A proof-of-concept Digital Twin (DT) system for a three-point bending test bench is shown in this work. It is intended to improve corrugated board quality control by predicting failure behavior. To model material behavior under compression, the DT combines a virtual representation, a physical asset, and a real-time bidirectional data flow. Compression test results demonstrate how sensitive corrugated boards are to loading history, and the DT effectively captures changes in mechanical response. The automated DT system shows promise for real-time quality control and product design optimization by minimizing material waste, cutting labor expenses, and increasing testing efficiency.