Functional Architecture of the Intelligent Bidding Platform
The functional architecture of the intelligent bidding platform includes: intelligent supplier management (automatic information collection, online qualification review, performance data analysis, credit rating evaluation); full-process bidding automation (from plan preparation to issuance of the notice of award); intelligent bid evaluation (automatic price comparison of technical and commercial bids, arithmetic error checking, unbalanced bid analysis, below-cost warning); contract management (electronic signing, execution tracking, change management).
Application of BIM and Digital Technologies in Bidding
Application of BIM technology in MEP equipment bidding: visual display of equipment parameters (3D appearance and installation dimensions for easy supplier understanding); automatic quantity extraction (accuracy above 95%); simulated installation verification (verifying dimensional and spatial fit); clash detection (checking spatial conflicts with structure and pipelines). Digital technologies also include digital twin models, RFID electronic tags (full lifecycle traceability from production to O&M), and blockchain (tamper-proof evidence storage).
Application of Big Data Analysis in Supplier Management
The supplier big data analysis system integrates multi-dimensional data such as basic information, bidding history, performance records, credit data, and market evaluations. Core models: supplier capability assessment (technical strength, production capacity, financial status, quality system); risk warning (business abnormalities, legal disputes, credit deterioration); performance prediction (predicting future performance based on historical records); market price analysis (historical winning bid prices and trends providing reference for control prices).
AI-Assisted Bid Evaluation and Risk Prevention and Control
AI-assisted bid evaluation functions: intelligent analysis of bid documents (automatic extraction of key information for comparison with bidding requirements); intelligent quotation analysis (identifying unreasonable quotations and below-cost quotations); supplier risk identification (analyzing financial, legal, and industry reputation); intelligent comparison of technical proposals (automatic comparison of key technical parameters and scoring). AI-assisted bid evaluation should serve as an auxiliary tool for expert review to improve efficiency.