FAUN launches its new original spare parts website: a smart digital platform for collection professionals

AI-powered parts search

In the waste collection sector, the identification of a spare part It remains a complex operation. Maintenance teams often have to work without precise references, which generates exchanges with the manufacturer and additional delays.

The FAUN Original Parts Service platform offers a search engine capable of interpreting queries in everyday language. This system is based on technologies ofartificial intelligence and machine learning, which progressively improves the relevance of the results.

A visual recognition feature also allows a part to be identified from a photograph. The user captures the item with a smartphone, and the tool compares it to an internal database.

Another technical lever is access to interactive maps of collection bins. These diagrams facilitate navigation within mechanical sub-assemblies and allow for direct selection of a component.

This type of approach is in line with current assisted maintenance practices, similar to the tools used in design offices or in technical asset management.

A structured technical basis for equipment maintenance

The platform is not limited to search. It incorporates a fleet management logic, recognizing the equipment used by each user.

Teams can thus access a selection of parts compatible with their fleet. This feature reduces the risk of ordering errors, a key issue in vehicle maintenance. rolling stock.

The components are presented in the form of detailed visuals and, in some cases, 3D models. This representation facilitates dimensional and functional verification, particularly for mechanical or hydraulic parts.

The site also provides a history of product changes. The correspondences between old and new part numbers are documented, simplifying replacement procedures.

“With this platform, we wanted to offer our customers a tool that is simple, fast and efficient, capable of facilitating their daily work while highlighting the quality of original FAUN parts,” emphasizes Étienne Blaise, president of FAUN.

From a business perspective, this technical data can be used by a maintenance manageran internal workshop or an external service provider, in a logic of business continuity.

A tool for managing purchases and interventions

The platform integrates operational management functionalities:

• quote generation
• order preparations
• tracking purchase history

These elements help to structure the management of spare parts, which is often scattered across several tools.

In a preventive maintenance approach, this centralization provides a lever for optimization. It facilitates the planning of interventions and the monitoring of parts consumption.

A concrete example concerns operators of fleets of household waste collection vehicles. By anticipating the needs for hydraulic components or wear parts, they can limit unplanned downtime.

However, one operational limitation remains: the system's effectiveness depends on the quality of the initial data (parts referencing, database updates). An incomplete database can reduce the relevance of the proposed solutions.

An interface inspired by e-commerce standards

FAUN adopts an approach similar to consumer platforms. The interface highlights the most used parts or recurring references.

This ergonomic design aims to reduce navigation time and improve the user experience. It marks an evolution compared to historical industrial systems, which are often less intuitive.

In the building and technical equipment sector, this trend towards digitalization of maintenance tools It is becoming widespread. It accompanies the evolution of professions towards greater digital management.

Furthermore, the manufacturer emphasizes original parts, designed to guarantee compatibility with equipment and preserve its performance. This positioning aligns with the safety and durability requirements of the equipment.

Towards predictive maintenance of collection equipment

The technologies integrated into the platform pave the way for new uses. FAUN specifically mentions the development of services for predictive maintenance.

This type of system relies on the analysis of operational data to anticipate failures. It allows intervention before a breakdown occurs and limits downtime.

Within a regulatory framework, these practices can be included in the obligations for equipment maintenance, particularly in relation to the safety requirements of industrial vehicles.

In the long term, the integration of these tools could transform the organization of interventions, bringing the practices of the sector closer to those observed in industry 4.0.

The initiative illustrates a broader evolution: spare parts management is becoming a strategic issue for the operational performance of fleets and the continuity of collection services.