Thanks for your interest in Attunely. We couldn’t be more excited to start a relationship with you and explore ways to further optimize your business. Which of the following best describes your operation?
We offer a proven, compliant, and trustworthy machine learning platform and suite of optimization models built specifically for the revenue recovery industry.
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- Rick Bonitzer, CEO of Credit Collection Partners
- Steven Fuernstahl, President of Stoneleigh Recovery Associates
- Rick Moss, CEO of Account Management Services
- Alex Reed, COO of CBE Companies
Powered by 3 billion de-identified consumer interaction records and counting, Attunely’s machine learning platform and suite of dynamic optimization models recommend the most effective consumer outreach tactics through every phase of the servicing, delinquency, and recovery life cycle.
Predict whether payment is likely from a delinquent consumer
Calculate the best offer to settle a purchased debt portfolio
Analyze historical data to inform the expected value
Determine which consumers need counseling or additional support
Identify the highest-yielding form of communication
Estimate risk and identify the best channel for outreach
Match each consumer with a preferred time to be called
Evaluate agents to match them with specific accounts
Machine learning is the application of modern algorithms to the historical accounts you’ve already worked. Our economic and behavioral models analyze your existing database to create new recovery strategies based on what’s worked in the past.
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Connect the Attunely machine learning engine to your existing system of record to analyze the debtor accounts you've already worked. We form a deep understanding of each account using your internal status and outcome codes, then map them to events in the Attunely platform.
Use the Attunely platform to filter and prioritize accounts, and export them as work queues. Or, merge the Attunely Scores back into your system of record, where they can be used as part of your normal operational workflow.
We tune a series of proprietary machine learning models to match the historical performance of your portfolios and accounts. Different types of debt use different machine learning models. Each account is individually analyzed and scored across dozens of dimensions.
Consultative ETL process to extract historical de-identified data from your existing system of record and transfer it to your secure, custom, cloud based Attunely server instance. We form a deep understanding of each account using your internal status and outcome codes, then map them to events in the Attunely platform. With a live data feed, your custom machine learning model can monitor and respond dynamically to daily shifts in consumer interactions.
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Use the Attunely platform to filter and prioritize accounts, run custom queries, build reporting dashboards, and create account segments. Consult with Attunely’s revenue recovery and ARM experts and data scientists to surface unique operational insights and build custom account segments. Export them as work queues or merge the Attunely Scores back into your system of record where they can be used as part of your normal operational workflow.
We build and tune a series of custom, proprietary machine learning models to match the unique needs of your portfolios and accounts. Different types of debts call for different machine learning models. Each de-identified account is individually analyzed against our global de-identified dataset and scored across dozens of dimensions.
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