HANNOVER MESSE 2018, 23 - 27 April


Logo Neonec
Exhibition stand
Hall 6, Stand L03

Company Data

Neonec SAS

2 rue du Cygne
75001 Paris


Type of company
Software and consulting

Social Networks

Company profile

Neonec is a fast-growing company providing end-to-end data enhancement services relating to spare parts used for industrial Maintenance, Repair & Overhaul (MRO). Amongst other benefits, our clients can decrease lead times for maintenance operations, reduce MRO spend, and optimize their spare parts inventory.

The people who make up our teams have complementary profiles that we bring together to provide efficient solutions to the problem of poor MRO data quality. Their focus is always on producing concrete business value. The teams include management consultants, technical experts, data scientists and developers.

Our core data-enhancement assets make the most of recent data-processing technologies, tailored to the specific requirements of MRO.

This unique combination of high added-value expertise in complementary fields with advanced IT capabilities has proven to yield excellent results at large scales, improving end-user experience and providing an accelerated return on investment.


MRO Technical Data Enhancement

Neonec provides turnkey services which quickly and effectively address the poor quality of the legacy data that is used to describe MRO spare parts, in quantities often running into the millions. This quality gap is the root cause of a wide range of operational anomalies which has an everyday impact more

Data-powered MRO inventory optimization

The first step of MRO inventory optimization is typically to adjust the replenishment parameters based on consumption history and supplier lead-time, balancing the risk of under-supply against the working capital involved. Once the quality of MRO data has been brought up to a sufficient level, it is more

Data-powered MRO spend reduction

However good your organization's purchasing department may be, the savings they are able to make year on year will soon reach a limit. This is especially true when their actions are based on unstructured, incomplete and inaccurate legacy data. For example, it is not uncommon to see buyers launching more

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