Pakistan develops AI system to detect public procurement bid rigging

The Competition Commission of Pakistan (CCP) has developed the Bid-Rigging Detection System (BRDS), an artificial intelligence-powered tool designed to identify collusion in the country’s public procurement market. The system aims to transition the detection of fraudulent bidding from a manual, complaint-driven process to a proactive, data-led surveillance model.

Pakistan spends an estimated $60 billion annually on the procurement of goods, works, and services, representing approximately 15–20 percent of its Gross Domestic Product. The BRDS is intended to screen large volumes of data to flag sophisticated patterns such as bid rotation, cover bidding, and related-party participation that were previously difficult to detect due to data fragmentation.

The initiative has gained international recognition, being featured in a report by Stanford Computational Antitrust. The CCP has reached understandings with the Public Procurement Regulatory Authority, provincial procurement authorities, and the Securities and Exchange Commission of Pakistan (SECP) to implement the system and integrate necessary data.