Integrate via the cloud-based API and be ready to deploy in just a few weeks. With the power of Retailer Monitoring in your hands, you will control the workflow and optimise in-house.
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Supply a list of your Retailer accounts and receive risk scores monthly via Tableau. There’s no need to build a payments flow with this simple service solution.
Integrate via the cloud-based API and be ready to deploy in just a few weeks. With the power of Retailer Monitoring in your hands, you will control the workflow and optimise in-house.
Mastercard’s decades of experience innovating and managing transactions provide us with a vast range of high-level transaction intelligence derived from anonymised and aggregated data. Our models are trained on this intelligence to learn patterns and anomalies from anywhere in the world Mastercard does business. Models are built following Privacy by Design standards and meet compliance locally and globally.
Our Retailer Monitoring solution is designed and optimised specifically for retailer risk management. The solution looks at retailers holistically instead of only looking at transactions. This creates accurate risk scores and fewer false positives. Fraud analysts review only the highest-risk retailers.
Using our experience from decades working with retailers, we finetune the solution to focus on risky behaviours, reducing losses while decreasing false positives. The model continues to learn with every transaction you process.
With more accurate risk scores and fewer false positives to review, workflow is optimised and investigators only need to assess the highest-risk retailers. Depending on whether organisations choose to use Retailer Monitoring-as-a-Service or to fully integrate and manage the technology in-house, the workflow can be adjusted to suit your fraud team.
Reports are received via Tableau and each retailer is assigned a risk score from 0-100, with 100 being the highest risk. Analysts can sort the report to show the riskiest retailers first
If a reliable Retailer scores as high risk, the analyst may wait to see if they receive another high score. If they are flagged again, the analyst may choose to follow up with a manual review or start an investigation.
The full-integration option puts Retailer Monitoring technology in the fraud analyst’s hands. Integrate via the cloud-based API and be ready to deploy in just a few weeks, receiving scores transactions made on any payment network.
Scores are received through the Brighterion AI intuitive interface that comprises Rules Management, Case Management and Business Insights modules. You can adjust your risk thresholds to balance risk with profitability and adjust timelines to suit investigators’ workloads.
Yes, you can. Using AI Express, Mastercard’s proven six-step process, we will quickly build a complex customised AI solution using Brighterion AI technology and prepare you for model deployment in a matter of weeks.
Our team will meet with yours to discuss your business challenge. The Mastercard team comprises data scientists skilled at designing customised AI models, domain experts experienced in using AI in retailer and transaction fraud and developers who build models geared to solving your business’s challenge. One of our skilled project managers will keep the team on track and liaise with your team lead.
1. Source: Interos proprietary research, 2022
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