Intelligent Comparison of Bidding Documents Based on Algorithmic Analysis and Visualization

This paper aims to achieve intelligent comparison of bidding documents from different sources and identify potential bid-rigging situations. In response to possible irregularities and unfair practices in the bidding process, we design and implement a system based on algorithmic analysis and visualization. The system automatically parses bidding documents from various sources and displays the differences between them. Through algorithmic analysis and a visual interface, evaluation experts can quickly identify potential bid-rigging situations. Experimental results demonstrate that our system effectively reduces evaluation time and improves the accuracy of evaluation results. Our research holds significant value and promising applications. This system can reduce labor costs while enhancing the efficiency and fairness of the bidding process. Furthermore, through intelligent comparison technology, we can promptly detect violations and ensure fair bidding outcomes.