Procurement fraud is costly and hard to prevent, but with the right tools, organisations could see red flags earlier and respond in time rather than too late.
According to the Association of Certified Fraud Examiners (CFE), organisations lose 5% of their annual revenue to fraud, with the median loss per case totalling $117,000, and the average being $1.7 million.
Supply chains and procurement functions are especially vulnerable to fraud—often comprising long and winding networks, intricate webs of relationships, vast inventory assets, and multiple transactions along the S2P journey. The procurement and supply chain functions of retailers and manufacturers are especially vulnerable.
Frequently, procurement fraud is the result of a malicious individual within the organisation, although vendors and partners can also be responsible. Bid rigging, intellectual property infringement, inventory theft, and product counterfeiting are all examples of occupational fraud within the procurement process.
To address these challenges, companies must implement proactive measures. The CFE report noted that nearly half of fraud cases occurred due to a lack of internal controls, or an overriding of insufficient existing controls. It also found that anti-fraud controls were effective, resulting in lower losses and quicker fraud detection.
Fraud is prone to thrive in the procurement process, and can have devastating consequences, but the fight against the threat isn’t hopeless, and new technologies are proving especially effective in stamping out the issue.
In addition to traditional anti-fraud measures like strengthening internal controls, performing due diligence, and conducting regular quality checks, organisations can fight fraud in their procurement and supply chain functions by harnessing the power of AI and Big Data.
Fighting fraud with Big Data
AI analytics of Big Data sets can do more than improve efficiencies and predict trends in the movements of goods; these types of analytics excel at pattern recognition and, once correctly trained, can identify subtle changes in activity within the procurement function and supply chain that could point to fraud.
According to Isabelle Adam, an analyst at the Government Transparency Institute in Budapest, and Mihály Fazekas, founder of the Institute and assistant professor in the School of Public Policy at Central European University, “With the increasing use of electronic and online administrative tools — such as e-procurement platforms — making administrative records readily and extensively available in structured databases, public procurement has become a data-rich area.”
This wealth of data, if improperly handled, can become a place for fraud to hide, but if big data analytics are applied, they argue, it “can serve as a tool for auditors to identify and prevent fraud and corruption.”
By Harry Menear
