Tanish Panjwani
Dibsy was struggling to build a fraud detection system with limited expertise and the high cost of available solutions
Dibsy grappled with the multifaceted challenge of developing an in-house fraud detection system, given their limited in-house expertise and engineering resources, and the intricacies of certain EMEA online payment landscapes, where suitable alternatives were either prohibitively expensive or lacked transparency.
Before finding Oscilar, Dibsy faced the daunting task of creating an in-house fraud monitoring, detection, and response system from scratch. Their limited in-house expertise and knowledge meant that this was not just a technical endeavor, but also a strategic challenge with multiple discussions revolving around the best approach to take.
The tools available in the market, while potentially effective, were often exorbitantly priced and functioned more as opaque black boxes. These tools lacked the level of customization and transparency that Dibsy desired. As online payments were still emerging in Qatar, there was a significant gap in awareness surrounding the risks associated with digital transactions.
The scenario was further complicated by the fact that a vast majority of disputes, 7 out of 8 to be precise, were ruled in favor of customers, despite Dibsy's stringent KYC measures.
A rapid, customizable fraud detection through seamless data integration and merchant-specific tools
Oscilar's intervention marked a turning point in Dibsy's quest for robust fraud detection and prevention tools. For Dibsy, a company at the forefront of tech and data-driven solutions, Oscilar's capabilities in seamlessly merging in-house data with information from external vendors was nothing short of revolutionary. This integration expanded and enhanced their data pool, paving the way for more informed and accurate decision-making processes.
Leveraging Oscilar's advanced tools and models, Dibsy was not only able to swiftly deploy an initial layer of defense but also set the foundation to progressively evolve their systems. This evolution was aimed at collecting more refined data, which would then be used to sculpt advanced machine learning models uniquely tailored to the nuances of each merchant.
Significantly reduced chargebacks, boosting Dibsy’s market position and establishing them as leaders in secure digital payments
Following the integration of Oscilar, Dibsy experienced transformative results. By diligently observing specific patterns for fraud detection and adjusting their strategies accordingly, Dibsy saw a drastic decline in chargebacks. Implementing certain strategies, like the rigorous review of high-velocity transactions and introducing frictions based on specific triggers, made a palpable difference. This proactive approach had a cascading positive effect; the workload associated with manual reviews diminished substantially, allowing for a reallocation of precious resources to other mission-critical tasks.
On the competitive front, Oscilar's tools fortified Dibsy's position in the market. Without a significant push in marketing their enhanced fraud capabilities, Dibsy observed a reassuring drop in their losses, in sharp contrast to the rising losses experienced by their merchant's competitors.
Looking to the future, Dibsy is enthusiastic about sharing these capabilities with their merchant partners, enhancing awareness, and allowing for greater flexibility in payment acceptance processes.
Automate 90% of your risk decisions
Make better decisions with ML models tailored to your data
60+ pre-built integrations with popular data sources