Solutions

Tailored Solutions for Enhanced Decision-Making

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Lead scoring in high volumes sales process to maximize customer lifetime value

High volume sales is hard, onboarding new customers and figuring out how to filter them for maximum value can be challenging. RiskBite has helped intermediators benefit from machine learning to match customers with best offer.

Problem

Matching customers with the right offers is not an easy task. Each offer has conversion probability which consists of several types influential factors – customer interest, acceptance rate, win-rate conversion and of course value of the transaction. To balance and optimize such is a difficult scenario path optimization problem.

Solution

By combining predictive models together with action-effect models of prices, profit and all available options it is possible to maximize profit that can be obtained out of a given process.

Technology

  • Machine learning
  • Action-effect modelling
  • Profit estimations and scenario simulations
  • API access

Use-case: B2C Financial Intermediary – Poland

  • Construction of Dedicated Statistical Models – Developing tailored models to assess the acceptability of loan applications for individual lenders, enhancing the precision of lending decisions.
  • Support in Profitability Enhancement – Assisting in the optimization of monetization strategies for loan leads to boost the company’s profitability.
  • Provision and Maintenance of a Decision Engine – Offering and maintaining a specialized decision engine tailored to the company’s specific needs, ensuring efficient and accurate loan application assessments.