ISLAMABAD: The Competition Commission of Pakistan (CCP) has developed an AI-powered system to screen procurement data and flag suspicious bidding patterns for investigation.
The Bid-Rigging Detection System (BRDS) can process large volumes of data and help uncover concealed patterns of cartelisation in Pakistan’s public procurement market, where an estimated $60 billion is spent annually on goods, works and services.
The system is designed to link data sources from the Public Procurement Regulatory Authority (PPRA), provincial procurement bodies, and the Securities and Exchange Commission of Pakistan (SECP).
Public procurement in Pakistan is estimated to account for approximately 15-20 per cent of the country’s gross domestic product.
New Bid-Rigging Detection System to screen $60bn annual public procurement for cartel patterns
The CCP has said that historically, fragmented procurement data and the absence of automated links with corporate ownership records have constrained the systematic detection of sophisticated practices such as bid rotation, cover bidding and participation by related companies across multiple tenders.
While the CCP has reached an understanding with the relevant procurement agencies, implementation depends on facilitation and institutional coordination through effective data integration.
CCP Chairman Farid Ahmad Tarar said procurement worth trillions of rupees could not be effectively monitored solely through complaints and the manual examination of individual tenders.
He said BRDS would enable the commission to identify complex, concealed bidding patterns across large datasets and direct its investigative resources to the highest-risk cases. He emphasised that the system’s alerts would serve as investigative leads rather than determinations of wrongdoing.
Each alert would require independent verification, evidence gathering and legal assessment under the Competition Act 2010. BRDS seeks to shift detection from a largely complaint-driven and manual process towards proactive, systematic and data-led market surveillance.
The initiative has also gained international recognition, with BRDS featured in the Computational Antitrust Worldwide. The Fifth Cross-Agency Report, published by Stanford Computational Antitrust, highlights firsthand accounts from 30 competition authorities.
It has examined how computational tools are enabling regulators to undertake enforcement work that would otherwise be difficult—or impossible—through conventional methods. The system analyses bidding behaviour across multiple tenders to detect cartelisation and raise red flags such as abnormal pricing structures or coordinated pricing deviations.
Most of the known cartelisation and collusive bidding practices include cover bidding, where competitors submit fake high bids so a pre-selected winner secures the contract. The other most common bidding violation noted by the CCP is “bid rotation”, where members take turns winning bids, forming a cartel.
The CCP has also detected another form of cartelisation related to information sharing among competing parties. It has said that BRDS is expected to strengthen enforcement against cartelisation, promote fair competition in public procurement and help secure better value for public money.
Published in Dawn, October 18th, 2026
