The Situation
Credgenics serves 300+ lenders across India with a full-stack debt collections platform — SMS, email, WhatsApp, IVR, field collections, and legal recoveries. Every client had a different pricing model. Every month, the finance team reconciled all of it by hand.
The Problem in Numbers
300+
Clients with unique
pricing models
6
Communication channels
to bill
Multiple
Pricingtiers per
client
100%
Manual
reconciliation
What Cuedo Built
Architecture Flow
A self-serve billing analytics platform on AWS — automated end to end, in 10 weeks, with two people.
| Layer | Purpose |
|---|---|
| Usage Table | Day-level usage across every channel, every client |
| Pricing Table | Encodes slab-based and count-based commercial terms per client |
| Cost Table | Joins usage × pricing to produce daily/weekly/monthly cost figures |
Automated ETL pipelines pull from 6 source systems daily. QuickSight dashboards give finance and business teams self-serve access sliceable by client, channel, time period, region, and DPD bucket
The Results
Before
Hours of manual reconciliation
Error-prone manual calculations
Multi-hour monthly reporting
Bespoke spreadsheet per client
No real-time margin visibility
After
70% reduction in finance team effort
99.9% data accuracy
Reports generated in under 30 minutes
300+ clients on one unified platform
Live cost, usage & margin by channel
Ten weeks. Two people. Three hundred clients automated. Finance went from monthly spreadsheet marathons to on-demand answers.