Size
SMES
Sales figures
90M
Sector
nan
Context
In the medical device sector, sales generate a large number of small unit invoices. Although their individual value is modest, their accumulation represents a significant financial challenge.
However, manual processing of these invoices takes up a considerable amount of staff time. Dunning quickly becomes a time-consuming process, with no real return on investment, especially for small amounts outstanding.
Against this backdrop, the company became aware of a dual need:
Automate dunning of low-value invoices to free up operational time,
All the while preserving the quality of customer relations, essential in a sector where trust and responsiveness are key.
Objective
Against this backdrop of low unit value invoicing, the company was experiencing recurring difficulties in managing its accounts receivable. Most of the reminders were done manually, taking up a lot of time without generating proportional results.
This unstructured approach had several consequences:
Irregularly monitored cash receipts
Lack of overall visibility on customer balances
A loss of operational efficiency in prioritizing actions
Aware of these limitations, the company has formulated three key objectives to transform its cash management:
Improve debt collection through targeted and regular actions
Anticipate overdue payments through better analysis of payment behavior
Structure customer reminders according to scenarios adapted to risk and amount, to reconcile performance and relationship quality
Solution implemented
To respond effectively to these challenges, the company deployed the Aston AI Cash Collection solution, designed to combine operational performance with ease of use.
The approach implemented was based on several key levers:
Automated reminders, in particular by SMS for amounts under €500, to quickly process small receivables without mobilizing teams.
Segmentation of customers by risk level, to prioritize actions on the most sensitive profiles
Integrated predictive scoring, to anticipate payment behaviour and adapt reminder scenarios accordingly
The entire system was deployed via an intuitive web interface, with no impact on existing technical systems. This configuration enabled the company to adopt proactive management of the customer workstation, without complexity or overload for the teams.
A few months after implementing the solution, the results are significant:
-46% of receivables over 60 days past due
3 days per month saved by the team on reminder processing
These performances illustrate the effectiveness of targeted, well thought-out digitalization of collections.
Thanks to better prioritization of actions and automation of low value-added tasks, the company has been able to transform its accounts receivable into a genuine cash flow lever, while at the same time streamlining communication with its debtor customers.
Results
Key benefits
The integration of the Aston AI solution has enabled the company to :
Automate repetitive tasks
Save time and improve visibility on work-in-progress
Strengthen free cash flow
Reduce DSO measurably
Unite teams around a simple, collaborative and intuitive tool
Customer receivables have thus become a genuine performance lever, serving both financial strategy and customer relations.
