Solutions for granting and collection

  • Software editor of Blitz Collection.
  • Real-time subscription and granting process integrator.
  • Consulting company in data science and machine learning applied to granting and collection.

Collection

Blitz Collection is an integrated collection management solution.

Multi-debt cases

Stakeholders management

Customer and contract management

Payments, promises and plans

Scenario and agenda management

Actions and mass actions

Mass integration (ETL)

Invoicing, reversal and compensation

Generation of accounting entries

Management of the legal phase

Rights level management

Debtor and customer website

Granting

Blitz is an online and real-time subscription process integrator

Aggregation of external information

Aggregate the information available about your prospect as you go along.

Risk calculation

Calculate the risk of non-payment or abandonment in real time using an AI model based on your data.

Automatic granting

Create different granting or refusal scenarios based on calculated risks.

Contract signing

Automatically generate your contract and have it signed online.

Integration with your CRM

Transfer the collected data to your CRM.

Performance tracking

Track metrics like grant rate and abandonment rate.

Blitz offers a complete service

  • Specifications, UX/UI.
  • IT development
  • Hosting
  • Operational monitoring and support
  • Application maintenance

Blitz Business Service is ISO 27001 certified

We are committed to ensuring the security and protection of your data to the highest standards.

ISO 27001 Certification

Consulting and studies

Blitz's data science and machine learning team develops specialized AI models for granting and collection issues..

Real-time risk estimation
Pricing of debts portfolio
Economic analysis
Automatic orientation of collection flows
Continuous scoring of debt stock
Optimal strategy

Every client is an adventure

Blitz, a committed company

Blitz is a member of The Shift Project

The models developed by Blitz use machine learning technologies. They learn from the past to predict the future. Although they are very useful, they are not sufficient because the future will not resemble the past. As a member of the Shift Project, Blitz participates in reflection on the conditions for adapting our economy and our society to the environmental and energy constraints.