Size
ETI
Sales figures
356M
Sector
Transport / Logistics
Context
Express transport, dense network: In the express transport sector, where speed is key, manual dunning processes were slowing down collections. Teams were faced with a high volume of low-value invoices, with little visibility of critical deadlines. Management was therefore looking to modernize receivables management to speed up incoming flows.
Objective
In an express transport environment with a dense network, Ciblex was faced with recurring challenges in customer receivables management. For example, dunning processes were partially manual, resulting in a significant loss of time, irregular monitoring of collections and a lack of visibility on customer balances. For this reason, the company was looking to improve debt collection, anticipate unpaid invoices, and structure its customer dunning efficiently.
Solution implemented
To meet these challenges, Aston AI has implemented its Cash Collection solution. ASTON + mass dunning + themed models. In concrete terms, the platform has been configured for proactive receivables management, with automated reminders, segmentation by risk, and integrated predictive scoring. In addition, everything is accessible via an intuitive web interface, with no technical overhead.
+65% invoices recovered < 60j, simplified follow-up. These results demonstrate the concrete effectiveness of a well-thought-out digitalization of the dunning process. As a result, they enable the company to turn receivables into cash leverage, while at the same time streamlining exchanges with debtor customers.
Results
Key benefits
The integration of Aston AI Cash Collection has enabled the company to make major advances in automating time-consuming tasks, saving operational time, improving available cash and securing dunning processes. What’s more, the company has been able to better manage its receivables, reduce
