CCP develops system to uncover concealed patterns of cartelization

The Competition Commission of Pakistan has built an AI-based tool, the Bid-Rigging Detection System, to spot hidden cartel behaviour in government purchasing. According to Business Recorder, the state spends an estimated $60 billion a year on goods, works and services. The system will scan big procurement datasets and flag bidding activity that appears suspicious for further investigation.

Government buying is estimated at roughly 15 to 20 percent of GDP, yet oversight has relied mostly on complaints and manual reviews of individual tenders. Fragmented records and no automated link to company ownership data made it hard to catch bid rotation, cover bidding and affiliated firms bidding in several tenders. The aim is to shift the commission toward routine, data-driven surveillance rather than reactive case handling.

Chairman Farid Ahmad Tarar said that public buying worth trillions of rupees cannot be properly watched through complaints alone. He stressed that alerts are investigative leads rather than findings of wrongdoing, and every flag must go through its own checks, evidence collection and legal review before any conclusion is reached. The system also features in a Stanford Computational Antitrust publication covering 30 competition authorities. Arrangements are already in place with the Public Procurement Regulatory Authority, provincial procurement bodies and the Securities and Exchange Commission of Pakistan to enable deployment.