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Mis à jour le 15 October 2026

Business Case: Optimizing Accounts Receivable in the Healthcare Industry

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Contents

Size

SMEs

To learn more, read our guide: “7 Ways to Reduce DSO,” and check out our debt collection software.

Revenue

90M

Sector

no

Background

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.

In this context, the company recognized a twofold need:

  • Automate the follow-up process for low-value invoices to free up operational time,

  • While maintaining the quality of customer relations, which is essential in an industry 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 loosely structured approach had several consequences:

  • Incoming payments tracked on an irregular basis

  • A lack of overall visibility into customer balances

  • A loss of operational efficiency in prioritizing actions

Recognizing these limitations, the company has set three key objectives to transform its cash management:

  1. Improve debt collection through targeted and consistent actions

  2. Anticipate Delinquent Payments Through Better Analysis of Payment Patterns

  3. Structure customer follow-ups based on scenarios tailored to risk and amount, to balance performance with the quality of the relationship

Solution Implemented

To effectively address these challenges, the company has implemented the Aston AI Cash Collection solution, designed to combine operational performance with ease of use.

The approach implemented was based on several key drivers:

  • Automation of collection reminders, particularly via text message for amounts under €500, to quickly process small claims without tying up staff

  • Segmentation of customers by risk level, enabling prioritization of actions for the most vulnerable profiles

  • Integrated predictive scoring to anticipate payment behavior and tailor collection strategies 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 the solution was implemented, the results are significant:

  • -46% of accounts receivable more than 60 days past due

  • The team saves 3 days per month on processing follow-ups

These results demonstrate the effectiveness of a targeted and well-planned digital transformation of the accounts receivable process.
By better prioritizing actions and automating low-value-added tasks, the company has transformed its accounts receivable into a true cash flow driver, while streamlining communication with its debtors.

Results Obtained

Laptop, calculator, banknotes and financial reports on a desk

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.

Learn more
Aston AI: From Order to Cash

Founded in 2011, ASTON AI, voted Fintech of the Year 2015, has revolutionized the receivables management market in ten years by offering a high-performance, simple, comprehensive and innovative platform. ASTON AI’s platforms benefit from 10 years of continuous technological development and an in-house R&D department dedicated to digital services.

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