The Competition Commission of Pakistan (CCP) has developed an artificial intelligence-powered system to identify hidden cartelisation patterns within the country's public procurement market. Public procurement in Pakistan accounts for an estimated 15-20% of the gross domestic product, with annual spending on goods, works, and services reaching approximately $60 billion.
Designed to screen massive volumes of procurement data, the Bid-Rigging Detection System (BRDS) flags suspicious bidding trends for further investigation. A CCP statement issued on Saturday noted that BRDS intends to move away from manual, complaint-driven processes toward systematic, data-led market surveillance.
The system reached an advanced stage of development and pre-deployment preparation, featuring in a Stanford Computational Antitrust report that compiled first-hand accounts from 30 competition authorities. To facilitate implementation, the commission reached understandings with the Securities and Exchange Commission of Pakistan, provincial procurement authorities, and the Public Procurement Regulatory Authority.
Farid Ahmad Tarar stated that procurement worth trillions of rupees could not be effectively monitored solely through complaints and the manual examination of individual tenders. Tarar added that BRDS would enable the commission to identify complex bidding patterns across large datasets and direct investigative resources toward the highest-risk cases.
Alerts generated by the system serve as investigative leads rather than determinations of wrongdoing, requiring independent verification and legal assessment under the Competition Act, 2010. A CCP statement also noted that the contribution to the Stanford report sets out practical lessons for competition authorities in developing economies, emphasising machine-readable data, inter-agency cooperation, controlled testing and legal defensibility.
