Realizujemy projekt finansow​any przez NCBiR oraz Unię Europejską.

czytaj więcej
success stories

Reduction of debt collection costs in a telecom company

From Manual Decisions to Automated Profit-Driven Debt Collection

Introduction: Optimizing Debt Collection in Telecommunications

Debt collection is a critical process for telecom companies, but manual decisions based on limited criteria can lead to inefficiencies and lost profits. Initially, our client selected one of four collection strategies based on just two simple factors—the amount owed and the length of arrears—relying heavily on the intuition of decision-makers.

The Problem: Inefficient and Costly Collection Process

This basic approach caused challenges such as:

The Solution: Automated, Data-Driven Strategy Selection

We implemented an automated decision process that selects the optimal debt collection strategy for each customer based on multiple criteria and focused on profitability maximization.

Key improvements included:

  • Utilizing diverse customer data points beyond amount and time of arrears.
  • Tailoring collection strategies dynamically to customer profiles.
  • Automating the entire selection process to reduce human bias and speed up decisions.

Thanks to automation and data-driven strategy selection, the company shifted from reactive collection efforts to precise, profit-maximizing decisions in real time.

Key Results

The implementation delivered clear, measurable outcomes that significantly improved the debt collection process and financial performance:

Conclusion:

Smarter Collections for Better Business Outcomes

Moving from manual selection to automated, data-driven decision-making transformed our client’s debt collection process. By applying advanced analytics, the company significantly reduced costs and maximized recovery profits, proving that intelligent automation drives superior financial results.

Results of the Change

BEFORE
Manual selection of one of 4 debt collection strategies for a given client, based on 2 simple criteria (amount and time of arrears) and the intuition of the decision-maker
AFTER
Automated process for selecting a debt collection strategy based on different criteria and maximizing profit.
EFFECT
For 40% of customers, internal debt collection turned out to be unnecessary and ineffective. Profits from collection recovery increased by 20%.
The owner of this website has made a commitment to accessibility and inclusion, please report any problems that you encounter using the contact form on this website. This site uses the WP ADA Compliance Check plugin to enhance accessibility.