MARS · Loan Collection Software
Work more delinquent loans without scaling collection headcount.
When a delinquent book grows, the usual answer is to hire more collectors and dial more numbers. That scales cost faster than it scales recovery.
MARS works the loans for you. It ranks the book by where recovery effort pays off, engages borrowers, tracks every promise and follows through — so your team covers far more accounts without the book outrunning the headcount.
Definition
What is loan collection software?
Loan collection software manages delinquent loan accounts through prioritisation, borrower engagement, promise tracking and recovery workflows. MARS adds AI recovery decisioning around DPD, buckets, cure probability and collection policy.
Traditional systems queue accounts and record what happened. MARS decides what should happen next on each loan and acts on it, so the software carries the work rather than just logging it.
The problem
Why headcount is the usual lever.
Most loan collection systems tell you which accounts are late and leave the working of them to people. So the only way to cover more of the book is to add more collectors.
That lever runs out. Hiring is slow, contact capacity is finite, and every new collector still has to be told which accounts to work first. As the book grows, coverage thins and early-stage loans that could have cured quietly roll into harder buckets.
MARS changes the lever. The routine contact and follow-up that consumed collector hours run automatically, and human effort is reserved for the accounts where judgment actually changes the outcome.
How it works
How MARS prioritises the book.
MARS reads the state of every delinquent loan and ranks it, so effort lands where recovery is most likely — not simply on whatever is most overdue.
Days past due
Reads DPD on every account as the baseline signal for how far a loan has drifted and how urgent the next action is.
Delinquency bucket
Places each loan in its bucket and works it with the strategy that fits that stage, rather than one queue for all.
Cure probability
Weighs how likely an account is to cure with the right contact, so effort concentrates where it can still change the result.
Roll risk
Flags loans at risk of rolling into a worse bucket and prioritises intervention before they deteriorate.
Engagement
Uses how a borrower has responded to prior contact to choose the channel and timing most likely to land.
Promise history
Factors in whether a borrower has kept past commitments, so a reliable promise is treated differently from a broken one.
Control
Acts inside lender policy.
Working loans without collectors only helps if the work stays inside the rules a lender must follow. MARS operates within the boundaries you define, and every action it takes is visible and reversible.
- Contact frequency, timing and channel limits
- Human-in-the-loop approval where you want it
- A complete audit trail on every decision
Autonomous execution only happens within the boundaries you set.
Compare
MARS vs traditional loan collection systems.
A traditional loan collection system queues accounts, assigns them and records the outcome — the working still depends on how many collectors you can put on the phones. MARS adds the decisioning: it ranks the book by DPD, bucket, cure probability and roll risk, then executes the contact and follow-up itself. It is closer to a recovery engine than a case list. See AI debt collection software for how MARS runs the wider recovery process, and debt recovery software for turning activity into recovered cash.
Integrations
Integrates with your LMS and CRM.
MARS connects to the systems a lender already runs, so it works the book without replacing your system of record. Your loan management system stays the source of truth.
- Loan management and core lending systems
- CRM and borrower records
- Calling, messaging and payment tools
Ready when you are
Cover more of your delinquent book.
Bring a delinquency report and your loan management system. We will show you how MARS prioritises the book and works each loan — so coverage grows without the headcount growing with it.