AI/ML CREDIT CONTROL

Acquisition scorecards

Predict Customer Risk, before or during the onboarding process, using historical data and analytics to forecast potential risks, like a client's likelihood to default or be a poor fit.
Aqusition+10-20% Retention Rate
Key steps include analyzing demographics, past behavior, and behavioral patterns, often using AI and machine learning, to build a model that scores new clients and helps businesses make informed decisions about whether to proceed with the acquisition.
Cost of Risk5-10% Cost Reduction
Customer behavior Scorecards at acquisition use data to predict how new customers will behave and help businesses evaluate their potentialrisk of default or lifetime value.
Aqusition Scorecards6-9 Weeks to build

Work with us

Strengthen risc management while improving cost of risk

Customer Behavior Risk Prediction at aquisition.

Request a 20 minutes Video ConfCall, and you will find some good or great ideas for your organisation.

+20 years data related projects and operations expertise

Telecom

Banking

Energy

Employees

E-commerce

Gift Cards

Apps Users

Small Business

Services

Cost of RISK

aI/ML CREDIT CONTROL

Calculate Risk Scores for Better Risk Management 

Predictive analytics is key to improving customer retention rates by identifying at-risk customers before they churn.

Reduce cost of rislk up to 10-20% using successfully tested  AI models

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business Proposal

We have built VT Joint Venture to offer specialized services  in data analysis for the purpose of obtaining decisions and their automation, with clients in Telekom, Banking, Fintech and other big data based industries.

email

[email protected]

Phone

+4 074 322 32 24