Below, you'll find some use cases where Yazzoom can help you create value.
Fraud is as old as humanity itself and can take an infinite amount of different forms. We apply machine learning and data mining techniques on databases that includes unstructured data like text, speech or video, to discover unusual patterns and identify characteristics of fraud. Our chief purpose is to prevent or at least reduce your losses as a result of fraud.
Further, we can analyse data from complex databases in support of litigation and to detect company policy violations, misconduct, human error, abuse and operational inefficiencies.
Each year businesses use forecasting to decide how they should allocate their budgets for anticipated expenses for the next year, typically they use historical data from sales to determine the upcoming demand. At Yazzoom, we create multi-variable predictive models that makes it possible to estimates the future trends more accurately and so increase the quality of your budget allocation.
Businesses face all kinds of risk, some of which can cause serious financial consequences. But there is no reason to panic, because Yazzoom uses his experience in machine learning to track those risk down and eliminate them. We determine the probability that a risk will occur and evaluate the level of exposure. Than we will limit or remove the exposure by rule engines or specific machine learning applications.
Digital Signature authentication
For sign2pay, winner of last year's MPE Corner Award, Yazzoom developed algorithms that authenticate hand signatures drawn on a smartphone or tablet, and a risk analysis tool for mobile financial trasactions.