Ob Verbraucher oder Unternehmen, eines haben beide gemeinsam: die Verschuldung steigt. Einem aktuellen Experian-Bericht zufolge sind die ausstehenden Gesamtschulden der Verbraucher auf fast 14,9 Billionen Dollar gestiegen und haben damit einen neuen Höchststand erreicht. Leider sind nicht alle Kreditnehmer in der Lage, das geschuldete Geld zurückzuzahlen, insbesondere angesichts des durch die Pandemie verursachten wirtschaftlichen Abschwungs. Unabhängig davon, ob Sie Geld schulden oder versuchen, ausstehende Forderungen einzutreiben, ist das Eintreiben von Forderungen - gelinde gesagt - unangenehm. Dieser Blog wirft einen Blick auf das Inkasso aus der Sicht des Inkassobüros, zeigt auf, was getan werden kann, um die Fähigkeit zu verbessern, geschuldetes Geld einzutreiben, und wie künstliche Intelligenz (KI) und maschinelles Lernen (ML) das heutige Inkassomanagement-System modernisieren.
Traditioneller Forderungseinzug
Wenn es Ihnen wie den meisten Unternehmen geht, ist das Eintreiben von Forderungen eine langwierige, mühsame und oft nicht lohnende Erfahrung - vor allem, wenn die Forderungen unbezahlt bleiben und Sie die Kosten tragen müssen. Werfen wir zunächst einen Blick auf die traditionellen Inkassoverfahren.
- Invoice: Typically the first step in collecting money owed for products or services rendered, an invoice is sent that clearly states the amount owed and the due date. With the right billing system, you can reduce unpaid debt by automating the entire invoicing process.
- Nonpayment: The payment due date comes and goes and you’re still waiting, thinking it’ll be here soon. But payment doesn’t arrive and you’re left to administer penalties and fees, which of course take resources and time away from other revenue-generating activities.
- Reminder messages: Whether phone calls or emails, this step is a polite reminder to the delinquent customer that they haven’t fulfilled their end of the contract – payment. Again, resources are needed to fulfill this task.
- Debt collection letter: The polite and casual initial reminders didn’t yield the payment you’re due. Most likely your next step will be to send demand letters, with each consecutive one becoming more demanding and forceful.
- Collection agency: At this point you’ve exhausted all of your internal resources and it’s time to turn the unpaid debt over to a collection agency. While they may have some success, remember you will owe them a portion of what they collect, which can be 50%.
- Lawsuit: Be careful with this one. Remember a lawsuit can be expensive and time-consuming. Be sure that the amount of money owed is worth the time and expense of going to court.
Jetzt denken Sie vielleicht, dass es einen besseren Weg geben muss, um geschuldetes Geld einzutreiben - und den gibt es auch!
Eine neue Ära für das Inkasso-Management-System ist angebrochen
Yes, there is a better way to be paid in a timely fashion. To start you need a cloud-based collections platform that enables you to streamline and automate your collection processes. It also needs to integrate billing and payments in a way that minimizes revenue loss, optimizes employee productivity, and improves customer satisfaction and retention.
Along with your cloud-based billing system, it’s becoming increasingly important for you to incorporate AI and ML. Not only will these technologies give you the results you desire, but it will help to keep customers loyal. Let’s dive under the hood of AI and ML to see how these technologies are helping companies, like yours, implement a collection management system for delinquent debt.
Already making an impact, people interact with AI and ML on a daily basis without even noticing. Rideshare apps like Uber and Lyft rely on ML to determine the cost of your ride, minimize wait time, and reduce detours during your journey. Digital voice assistants like Alexa, Cortana and Siri are driven by AI; mobile check deposits and even the products you purchase on Amazon leverage AI and ML. One might say that it was just a matter of time before these technologies made their way into collection management.
Im Wesentlichen fungieren KI und ML als Brücke zwischen Ihnen und dem Kunden und ermöglichen es Ihnen,:
1) Get ahead of delinquency:
Throughout history, debt collection has been primarily reactive. Once an account went delinquent, collection processes began in an attempt to acquire the unpaid debt. ML, a subset of AI, changes that by analyzing massive datasets to uncover patterns and risk factors that were often overlooked. As conditions change, ML incorporates the new data, providing you with the ability to analyze risk in real time. Ultimately, you can then take action before delinquency even occurs!
2) Improve borrower categorizations:
Borrowers are often grouped into 1 of 3 broad categories – low, medium, and high risk. But this traditional method isn’t able to handle nuances within each of the categories, which may change a customer’s risk factor. ML enables you to create distinct, data-driven customer profiles that go beyond simple labels. This gives you the information needed to determine if the borrower will take the necessary steps to resolve delinquencies on their own or whether you will need to use proactive measures to collect money owed. And since AI continually learns and adapts, the profiles created become even more precise over time.
3) Build effective communication channels and personalize repayment plans:
Traditional methods of debt collection relies on phone calls and emails. What if you could reach delinquent customers on the platform of their choice with a message that is sure to get their attention? With AI and ML this is now possible.
Using ML you can analyze when the customer is accessing your app and/or website. This will help you in determining their preferred communication channel and time of engagement. AI can also be used to enhance customer engagement by analyzing calls made to you by the customer, which will help you in determining which scripts and offers will yield the best response and ultimately money owed.
AI and ML are revolutionizing debt collection, opening the door to a plethora of new collection management system possibilities.
Umgestaltung Ihres Inkassomanagementsystems
KI und ML haben das Potenzial, ausstehende Forderungen zu reduzieren, die Art und Weise der Inkassobearbeitung zu verändern, die Betriebskosten zu senken, die Ressourcenproduktivität zu verbessern und sogar das Kundenerlebnis während des Inkassoprozesses zu verbessern. Diese Technologien ermöglichen es Unternehmen, proaktiver zu agieren, als dies bisher möglich war.
Wir wissen, dass die Verwaltung offener Forderungen eine der größten Herausforderungen für Sie darstellt. Bei BillingPlatform konzentrieren wir uns darauf, Ihnen dabei zu helfen, die Inkassozyklen zu verkürzen, den Cashflow zu verbessern und eine reibungslose Kundenerfahrung zu bieten - auch beim Einzug ausstehender Forderungen. Kontaktieren Sie uns noch heute, um mehr darüber zu erfahren, wie wir Ihnen bei der Modernisierung Ihres Inkassomanagementsystems helfen können.
