If there is any topic that arouses the normally staid bankers and credit card issuers, it is debt collection. While everyone agrees that collecting debt on time is essential to the health of financial institutions, it is also acknowledged that customer focus should not be lost. Debt collectors have the really tricky job of collecting the debt while retaining the customer and not landing up in a legal imbroglio that can end up being very expensive. According to https://www.urban.org, debt collection is an extremely sensitive job and the volumes involved are pretty large given that over 31% of Americans have a debt in collection. The nature of debt collection being what it is; it is extremely natural that there are a huge number of customer complaints. These complaints can be classified into four broad categories; the debt is not owned by the customer being charged, the debt has already been paid by the customer, the amount of the debt being collected is not verified, and an incorrect amount of debt collected.
An analysis of the complaints will reveal that typically, there are very few complications in the complaints and that they are the result of a lack of coordination between the various parties involved. There are numerous incidents of customers being harassed by collection agents who are not updated with the latest facts and figures of the case simply because both the collection agencies and their clients do not possess a seamless and real-time technology that permits debt collectors to be armed with the latest and most accurate case details. This makes debt collection an ideal sector for the application of technology and indeed debt collection is very quickly adopting different technology-driven practices that are making the normally troublesome process easier. Some examples of transformational technologies:
Big Data Analytics
For many industries, including debt collection, information is generally the key to success. Debt collection is all about having all the information on the debtor that is pertinent to recovering the debt. This will typically include his demographic data so that the collection agency has prior and accurate information regarding the debtor profile; details that can make a critical difference is the age and gender of the debtor andemployment details, as well as behavioral data that may give crucial insights to making debt-collection calls more productive. Big data analytics can give a sharper focus to the information available on a specific debtor that debt collection agents can use to contact and negotiate with more precision and accuracy.
Examination in the red gathering programming predicts indebted person and operator conduct. Prescient examination breaks down the present and verifiable record information just as the connections between these information to create a prescient conduct score. This distinguishes which account holders are well on the way to pay and which further broaden the obligation accumulation cycle.
The examination inbuilt under water gathering programming upgrades the obligation tasks by diminishing the normal credit accumulation period, streamlining quality affirmation checking forms, and improving specialist maintenance and in general operator execution. The obligation gathering programming consequently decides the ideal method to deal with every client and client collaboration with implanted prescient investigation engine.
Advanced speech analytics that big data can deliver can help machines to monitor all telephonic calls and the learning used productively to boost operational efficiency and save cost and time on the training of collection agents and other call center personnel interacting with debtors in default.
The science of predictive analytics, an advanced method of analytics specially formulated to predict outcomes has found special use in the debt collection industry; using innovative techniques of data analysis like data mining, artificial intelligence,machine learning,and statistical modeling to make forecasts or calculate the probability of certain events in the future. The use of predictive analytics enables the debt collection agency to be adequately prepared to meet the challenges of the dynamic environment and improve the performance of its debt collection efforts without incurring any loss or damage to customer interaction. With the help of predictive analytics, debt collection agencies can develop delinquency management techniques that are even more focused and impactful. Learn more on how collection agencies have benefited from predictive analytics by reading debt consolidation reviews online.
Process automation is one of the most trending technologies that have found application in diverse industries. Even in debt collection, it has been around for some time but now it looks set to assume even more importance. The automation involves processes that are generally undertaken by human beings to replace them with a self-service portal or an automated process, which in the debt collection industry typically comprises follow-ups for payments, skip tracing, and scheduling phone calls. The logic involved in very simple when applied to the debt collection industry, the sourcing of the information is done by data science while the remaining work is done by the automated processes powered by predictive analytics. The logical progression of the technology has led to the evolution of Design Automation, a concept that trains a machine to think, plan, and take action just like a human debt collector. Models using past history of debt collection is built up employing data science and then used to teach machines the techniques of interacting with debtors, following up and close collections just like human agents. The channels typically employed are chat, email, and SMS on a one-to-one basis and provide complete privacy and discretion assuring debtors of absolute data security.
The mobile phone has made life far easier for debt collection agents to establish contact with defaulting debtors. The mobile phone also makes possible closer coordination between debt collectors on the field. While mobile phones facilitate utmost privacy and discretion, a debtor may flag you on the DND registry thus preventing you from calling. However, when debt collection agents are polite, persuasive, and proactive, the chances of this happening become less. The development of numerous payment apps has made it easier than before to collect debts. Debtors, if they are willing to make the payment, can simply use the app on their smartphones and completely eliminate the chance of any fraud being committed since it is a direct account to account transaction providing complete transparency and a verifiable electronic trail.
Changing of organizations to versatile innovation won’t just give endeavors increasingly precise data however spare several hours of human exertion. The expanding selection of cell phones for expert intentions is a noteworthy pattern in the worldwide obligation gathering programming market. Law offices, accumulation divisions, and records receivable administration organizations are progressively concentrating on embracing obligation gathering portable applications since it gives them the adaptability to get surprisingly score and credit report, and furthermore get insights regarding components influencing their FICO assessment at whatever point and any place they need.
“End-clients are utilizing obligation gathering portable applications to stay up with the latest with obligation records and track advance toward gathering obligation objective. In particular, it gives a report on to what extent will it remove to get from an obligation dependent on insights regarding obligation and installment sums. These versatile applications give ongoing deceivability into obligation gathering exercises and execution with industry-explicit dashboards, reports, and efficiency measurements,” includes Amrit.
Technology, especially with respect to the collection and analysis of data has created valuable opportunities for the debt collection industry to get a clearer perspective of the actions of debtors, their motivations, and their fears. The employment of advanced technology makes it easier than before to stay updated on the status of a delinquent account and to contact the debtor, conduct negotiations based on customer behavior insights, and facilitate payments that are the most beneficial for their agencies.
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