Apollo Enterprise Solutions LLC, the leading provider of web-based payment and collection technology, announced today that it has entered into a strategic partnership with Austin Logistics, the leading provider of on-demand, customer-focused predictive analytics and business intelligence software solutions for account management and marketing, risk and collections. The combination of these two industry-leading technologies will allow clients engaged in collections across the debt life cycle to further enhance the effectiveness of Apollo’s web-based Intelligent Debt Solutions™ (IDS) payment and collection system by providing the ability to integrate existing collection models, rapidly deploy custom or consortium-based models and integrate champion/challenger campaigns directly into the Apollo IDS system.

Jeff Dickey, Apollo’s Executive Vice President of Sales & Marketing, commented, “By integrating historical account and payment information with real-time credit bureau data, Apollo’s system presents customized payment or settlement offers to debtors over the Internet that are matched to our client’s collection guidelines and each debtor’s individual ability to pay. When we combine Austin Logistics’ model deployment platform and custom modeling solutions with our technology, our clients will be able to integrate their established collection models, as well as develop and rapidly deploy custom modeling solutions. This enhanced capability allows them to leverage their existing investment, while creating even greater lift in their collection and recovery portfolios.”

“Customers today need the ability to quickly respond to market changes with the assurance that they’re making the best possible decisions,” said Lee Martin, Austin Logistics’ Vice President, Global Strategic Relationships. “Austin Logistics provides increased customer functionality via its Model Deployment Platform which is accessible to the Apollo clients throughout the collection lifecycle. This additive functionality will provide rapid model deployment via Predictive Modeling Markup Language (PMML) and advanced champion/challenger testing capabilities.”


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