CloudBankin's Collection Bot Agent: Automate debt recovery, streamline processes, and boost payment efficiency.
In today’s demanding financial environment, efficient and empathetic debt recovery is crucial for maintaining healthy portfolios and positive customer relationships. A Collection Bot Agent is a sophisticated AI-powered solution designed to transform how banks, NBFCs, and fintech companies manage their collections processes. This intelligent agent leverages the power of Artificial Intelligence (AI), Machine Learning (ML), and Natural Language Processing (NLP) to automate communication, personalize outreach, and optimize recovery strategies across various digital channels. By intelligently engaging with borrowers, the AI loan collection bot streamlines workflows, reduces manual effort, and ultimately improves collection rates while fostering better customer interactions.
Traditional collection methods often suffer from inefficiencies, high operational costs, and inconsistent borrower engagement. An automated collections system powered by AI offers a significant advantage by:
Our Collection Bot Agent employs a sophisticated AI-driven framework to optimize debt recovery:
Escalation Management: Complex cases or unresponsive borrowers are seamlessly escalated to human collectors with a complete history of bot interactions.
Our Collection Bot Agent delivers tangible results across various stages of the collections lifecycle:
Our AI loan collection bot is designed for seamless integration with your existing loan management systems, CRM platforms, and communication infrastructure through secure APIs. This ensures a smooth and efficient implementation process, minimizing disruption to your current workflows and maximizing the value derived from automated collections.
We offer more than just an AI collections agent; we provide a comprehensive solution and a strategic partnership focused on maximizing your recovery rates:
Stop relying on outdated and inefficient collection methods. Embrace the future of debt recovery with our intelligent Collection Bot Agent. Automate your processes, enhance customer engagement through channels like WhatsApp collection bot, and significantly improve your recovery rates.
Take the first step towards effortless and effective debt recovery.
Request a personalized consultation to discuss your specific needs and see how our solution can drive tangible results for your financial institution.
An interesting insight on vehicle loans for lenders.
A trend we are seeing today – the first-hand vehicle ownership is decreasing with time. Why? People are upgrading their vehicles in every few years because of technological advances. And, this can be seen more with the millennial generation.
So, what should a lender do in terms of financing?
– Estimating the residual value of the vehicle at the start of the financing period.
– Charging a borrower only for the residual value (which is the difference between the value after a few years and the current value)
Example: A bike currently is INR 1 lakh. You want to buy the vehicle for 2 years. A lender will estimate the residual value of that bike today and what it would be after 2 years. If the estimated residual value = INR 45,000, the lender will charge you only that (say, INR 55,000 with interest for this instance) during your tenure.
At the end of 2-year period, you have 3 choices:
1. Return the bike and upgrade to a new one without going through the struggle of selling it.
2. Pay the lump sum remaining amount to own the vehicle outright.
3. Extend the financing and own it by keep paying the EMIs for the remaining amount of the vehicle for the next 12 or 18 months.
Benefits for the borrowers?
– Flexibility to use a vehicle and upgrade to a new one.
– Affordability to not pay for the complete value of the vehicle with the intention to use for a lesser amount of time.
– Convenience in owning the vehicle.
Say goodbye to the old lending option and embrace the new way of financing for vehicle by lenders!
How many of us know this?
1) Tiktok does Lending ( is it an entertainment company or social media company or a fintech company?
2) Youtube China does Lending
3) Top 100 internet companies in China(no matter what business they are in) do Lending
The team which was heading Lending in Tiktok was the Advertisement team. If we do Ads, we do X no of revenue. But if we do lending, we’ll get X+30% more revenue. This is on the same Ad spot.
Ad team has transformed into a lending team, and in today’s world, it’s possible because the subject matter expertise can be put in as an API and given to you.
Embedded Lending as a service is becoming popular in India too, and I am happy to be part of this ecosystem.
The answer is No. Only the top 10 crore people have access to many credit products in India. Almost all Banks focus on this market.
Once you go beyond that, the credit access rate has dropped significantly due to multiple factors.
1) Customers who are having low income(30-40K per month)
2) Not earning from an employer who belongs to Category A or B
3) Not from Tier 1 or 2 cities
NBFCs and Fintechs focus on the above segment, pushing another 10 crores of people.
But in India, 70 crores more people are formally or informally employed, which still needs to be tapped.
After smartphone penetration, people are not watching their SMS at all. They use SMS only for OTP related transactions. That’s it.
But What can a Lender see in your SMS after you consent to them?
Lender can see income, expenses, and any other Fixed Obligation like (EMIs/Credit Card).
1) Income – Parameters like Average Salary Credited, Stable Monthly inflows like Rent
2) Expenses – Average monthly debit card transactions, UPI Transactions, Monthly ATM Withdrawal Amount etc
3) Fixed Obligations – Loan payments have been made for the past few months, Credit card transactions.
It also tells the Lender the adverse incidents like
1) Missed Loan payments
2) Cheque bounces
3) Missed Bill Payments like EB, LPG gas bills.
4) POS transaction declines due to insufficient funds.
A massive chunk of data is available in our SMS (more than 700 data points), which helps Lender to make a credit decision.
#lendtech #fintech #manispeaksmoney