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Our Numbers Say About Us
10k Cr+
Amount Collected
35k+
Product Users
60%
Collection Efficiency
35%
Cost Per Collection
Our Numbers Say About Us
Lending Companies Using goConnekt
Amount Collected
10k Cr+
Lending Companies Using goConnekt
Product Users
35k+
Active Daily User Logins
Collection Efficiency
60%
Leads Submitted Per Month
Cost Per Collection
35%
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Risk Profiling
FEATURES

Risk Profiling

Appointment setting and auto reminder
AI Driven borrower Segmentation
Customizable lead form with Dedupe
Dynamic risk scoring engine
Prospect visit with geo tagging
Predictive collection strategy
Prospect visit with geo tagging
Risk focused dashboard & Alerts
FEATURES

Payment Prediction

Appointment setting and auto reminder
AI powered prediction engine
Customizable lead form with Dedupe
Smart collection on timing
Prospect visit with geo tagging
Geo optimized field planning
Prospect visit with geo tagging
Payment behaviour insights
Product Prediction

Frequently Asked Questions

We have put together some commonly asked questions

How is a borrower's risk score calculated?

Using weighted parameters — repayment history, bureau data, delinquency trends, and behavior signals. Borrowers are segmented into risk bands (Low/Medium/High/Critical) that drive strategy and priority.

Do risk scores update automatically?

Yes. Scores refresh automatically as new data comes in, and borrowers move between risk bands without manual intervention.

What triggers an Early Warning Signal (EWS) alert?

Configurable triggers like missed payments, bureau score drops, or portfolio stress indicators — alerts fire in real time.

Can EWS alert routing be customized?

Yes. Routing rules can be set by severity, segment, or branch, with auto-escalation if unactioned within a set time.

What data powers Payment Prediction?

Historical repayment patterns, behavior signals, seasonal trends, and past collection outcomes — the model refines itself as new outcomes come in.

How does Payment Prediction help field planning?

High-likelihood cases are deprioritized for visits; low-likelihood cases are flagged for field/tele action, with geo-optimized routing to cut wasted visits.

How does Collection Strategy pick the right channel?

It auto-maps borrowers to a channel cascade based on risk profile and prediction score — low-cost digital channels first, field visits only if unresolved.

Can the four modules be used independently?

Yes, each works standalone. Used together, they form one pipeline — profile, predict, alert, and act — for maximum recovery.

How are Collection Efficiency and Cost Per Collection calculated?

Efficiency = amount recovered ÷ amount due. Cost Per Collection = total collection cost ÷ successful recoveries.

Does goCollect AI integrate with existing systems?

Yes — payment gateways (Razorpay, CC Avenue, BillDesk, Cashfree, Paynimo) and communication platforms (Gupshup, Infobip, Kaleyra), with no disruption to existing infrastructure.
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