PredictiveMetrics, Inc.
www.predictivemetrics.comPredictiveMetrics is the leading provider of statistical-based predictive scoring metrics and analytical decision solutions for the B2C and B2B markets. Our custom analytics and industry/finance decision technology span many industries, types of financing, and debt. PMI's cornerstone products, Net30Score, LeaseRiskScore and UtilityScore quickly and accurately predicts the specific probability that existing GOOD paying customer will become severely delinquent BAD paying customer at some time within six months of the date the customer was scored. Net30Score is used to drive the internal credit and collection strategies at leading companies. PMI's uses advanced statistical technology to develop a risk model that combines your historical trade information with your credit and collection policy rules, thereby providing a credit and collection evaluation solution resulting in superior credit and collection risk analysis and a substantial increase in credit and collection department productivity and efficiency. By specifically knowing the probability and odds of the occurrence of a future customer delinquency, it is possible to use this information to proactively manage your customers and change current behavior so that the predicted future behavior does NOT take place. To prove to you that PMI's statistical models are the most predictive risk assessment tool in the market, PMI will be happy to perform a FREE "Validation Analysis" based on your current A/R data. Based on your historical AR data, PMI's analysis compares our models future predictions to the actual results and provides you with various outputs that let you know just how well Net30Score did and what you can expect if PMI's modesl if implemented at your company. This validation analysis, using only your company's internal data, is prepared for FREE so that you can properly evaluate the applicability of PMI's models without any financial risk.
Read morePredictiveMetrics is the leading provider of statistical-based predictive scoring metrics and analytical decision solutions for the B2C and B2B markets. Our custom analytics and industry/finance decision technology span many industries, types of financing, and debt. PMI's cornerstone products, Net30Score, LeaseRiskScore and UtilityScore quickly and accurately predicts the specific probability that existing GOOD paying customer will become severely delinquent BAD paying customer at some time within six months of the date the customer was scored. Net30Score is used to drive the internal credit and collection strategies at leading companies. PMI's uses advanced statistical technology to develop a risk model that combines your historical trade information with your credit and collection policy rules, thereby providing a credit and collection evaluation solution resulting in superior credit and collection risk analysis and a substantial increase in credit and collection department productivity and efficiency. By specifically knowing the probability and odds of the occurrence of a future customer delinquency, it is possible to use this information to proactively manage your customers and change current behavior so that the predicted future behavior does NOT take place. To prove to you that PMI's statistical models are the most predictive risk assessment tool in the market, PMI will be happy to perform a FREE "Validation Analysis" based on your current A/R data. Based on your historical AR data, PMI's analysis compares our models future predictions to the actual results and provides you with various outputs that let you know just how well Net30Score did and what you can expect if PMI's modesl if implemented at your company. This validation analysis, using only your company's internal data, is prepared for FREE so that you can properly evaluate the applicability of PMI's models without any financial risk.
Read moreCountry
State
New Jersey
City (Headquarters)
Tinton Falls
Employees
11-50
Founded
1995
Estimated Revenue
$1,000,000 to $5,000,000
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Chief Financial Officer
Email ****** @****.comPhone (***) ****-****