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Oracle Modern Best Practice—Customer Collection
Customer Statement to Collection
A truly effective modern collections process improves cash flow and at the same time increases customer satisfaction. Oracle Modern Best Practice can help your organization achieve both of these goals and also help you reduce days outstanding. The analytic, mobile, and social capabilities built into this modern best practice optimize the customer collection process. You can rank the severity of customer delinquencies and follow-up collections with a standardized course of action, ensuring rapid and compliant review approvals for dispute resolution. Ultimately, recognize high risk customers based on industry metrics and address issues before they go to delinquency. Use this modern best practice as your roadmap for effective, data-driven collection processes.
Mobile. Analytics. Social.Generate Customer Statements
Send discrete or consolidated statements via preferred format and delivery method (mail, e-mail, or e-commerce message).
Mobile. Analytics.Apply Collection Strategies
Flag and score delinquencies automatically based on factors such as the amount due, aging, percentage outstanding and credit limit. Assign course of actions such as friendly reminder, staged dunning and phone calls to suit business needs.
Mobile. Social.Manage Collection Activities
Gain complete visibility to transactions, correspondence, payments, disputes and adjustments via role-based dashboards. Organize related delinquencies with case folder and record customer interactions at customer, delinquency or case level.
Mobile. Social.Manage Settlement
Initiate disputes on behalf of customer for review and approval within and across departments. Receive payments at the delinquency or case level.
Mobile. Analytics.Optimize Collection Efficiency
Manage collection team assignment based on performance metrics and key performance indicators (KPIs). Automatically assign new account delinquencies to agents.
Mobile. Analytics.Monitor Outstanding Receivables
Leverage advanced analytics to monitor key metrics such as days sales outstanding (DSO), promises, collection effectivity, over multiple dimensions and hierarchies such as time, location and customer.