We are convinced that an efficient Debt Collection Process has a great impact on the economy, interest rate levels and the possibility of companies and small businesses to access better credit lines by retro-feeding the impact on the economy, also by improving their working capital as a virtuous process reducing their financial needs & costs. The Debt Collection Process, is a forgotten chain, in the business chain process of companies. In the Fintech boom, it still remains.
The difficulty that companies have in Working Capital Management, that is, the money they use for their operation: buying, producing and selling a product in the market.
Carrying out this coordination with a manual method is extremely complex. That is why we propose the need to define and automate the Debt Collection Management process. In this example, we include a 9-step process. It begins with the processing of the delinquent portfolio and culminates with the recovery/payment. These are the stages, with variants applicable for both B2B and B2C Management:
Processes + Best Practices + People + Technology
and how each person works in a company in a new and collaborative way. It is also an opportunity to rethink Processes and a way of Technology supports them.
Successful Digital Transformation does not only come from implementing new technologies but from transforming the organization to take advantage of the possibilities offered by new technologies.
Fundamentally supported in a digital platform of data and integrated processes.
Since data integration is the biggest challenge in the creation of digital services
Re-define what and why people do what they do, to transform the current business model while optimizing operational efficiency and reducing costs. In short, it’s about reinventing your business process.
Most digital transformation initiatives are focused on rethinking, re-imagining and empowering:
In our experience, Simple Solutions are the best, as long as they maintain speed in innovation, flexibility, and adaptability to market changes.
Digital transformation in Debt Collection Process is nothing more than reinventing Client Contact, exponentiating Operating Processes and optimizing Business Model, supported by the application of Methodology, Systems and empowering People who use it
Imagine for a moment, managing the entire Debt Collection Process, optimizing resources, automatizing tasks and defining the Client status, so that interaction through a Client Portal (landing page), calls or automatic actions (mail, SMS) has instant feedback and impacts on workflow and in the online management of a Collections.
Digital Transformation is modifying the way in which the Debt Collection Process can be carried out, allowing to maximize control and measurement of the productivity of each contact, the effectiveness of Campaigns, according to different indicators, allowing to improve tactics and strategies in the Collection Process.
The debt collection process can be optimized by Machine Learning.
In Debitia, we use of Simon Sinek`s methodology that puts the client in the center. Its author emphasizes the importance of focusing on the Why, as the center of the work and existence of every company. It is quite a challenge to use it.
Help you, to use the best collection management practices and strategies.
Recover your money, coordinate and supervise your work team, even managing remotely.
We already help Companies, Telecommunications Companies, Banks, Digital Banks and Credit Fintech throughout Latin America.
How Collection Management System, it manages debt efficient collections. Collections software. Collection strategy. Collection of invoices. Soft collections. software to manage debt collections. invoice collection process. Machine Learning in debt collections As Collections Organization. Debt Collection process management system.
Debitia System for bill collection management. Debitia Collection Management System, as Debt Collection Management. Debt Collection management process. Collections software. Segmentation of Debt collection process portfolio. Debt Collection strategy. Collection strategies cards. collection software. Machine Learning. Debt Collection Process – “The Forgotten FinTech”
Debitia es una innovador Sistema de Gestión de Cobranzas en Latinoamérica, diseñado para automatizar y optimizar las estrategias de…
Automatice con éxito sus Etapas de Cobranza Debitia es un innovador software de Gestión de Cobranzas, que organiza y automatiza…
Cobranza preventiva ¿Qué es y por qué es importante? ¿Qué es cobranza preventiva? Hablamos de cobranza preventiva cuando realizamos cobros…
Debitia es una innovador software de Cobranza en Argentina y Latinoamérica, diseñado para automatizar y optimizar el proceso de gestión…
Sistema de Cobro efectivo en México, Debitia Debitia es una innovador y efectivo Sistema de cobro en México, diseñado para…
Esta web usa cookies.
Ver comentarios
Well done, mate. I was looking for a good explanation about Debt Collection Process!
Many thanks
This is a lot of work kudos to you
Many thanks!, if you need more info, just ask me
Simon Sinek would be proud of you !!!, great read anout debt collection process
Hello Martin,
Many Thanks, it takes some time, but we could share our thoughts about the Debt Collection Process.
Have a great day
Hello, very interesting read, I would like to get more detail on the Optimization process and also understand how to automate the debt collection process, thanks
Hello Karen,
We run an optimization process based on Machine Learning with almost 6 months of data. It means you have to record every contact with customers in our CRM. Also, take note for promises and payments, and record them.
Prior to optimization, Debitia run campaigns to contact customers and assign to a call center or person that contact customers.
Debita is based on our framework that matches an industry vertical and automated business process, after a very deep knowledge about it works. So, in the case of Collection, we matched any important process and good practice. Then we bring a workflow that manages and connects any important process with decisions maker, strategist or executor.
We did it before in telecommunication vertical, take a look at this: https://www.youtube.com/watch?v=bbKHsNcZkzE
You can contact me any time
AMAZING !!
THANKS !!!
please contact me any time
Hello there, can you send me a list o examples of best practices?, thanks in advance. Lori
Hello Lori, sure I just mailed you few examples. I will write a post about some of theme.
Thanks for sent me the information!
You are welcome!
Thanks for sharing, this is so clear. ¿Is it possible to build contact campaigns based on a combination of IVR responses and customer responses?. Is possible to manage on the debt collection process?, thanks Nadia
Hello Nadia, yes of course.
This is managed by our debt recovery strategies, based on feedback from customers (answer) or IVR feedback (option pressed) you can run campaigns. Also, we bring a Machine Learning based engine that allows to optimize campaigns and reduce cost in customer contact contacts & call center effort.
Many thanks, ¿could you bring me an example?
Nadia, please contact me in a week I would bring you an example
Ok, please send me an example
Hello Nadia, here is an example https://debitia.com.ar/machine-learning-in-debt-collection-management-process/