In an industrial environment where performance depends on data use, DimoMaint MX positions itself as a new-generation CMMS designed to support the digitalization of maintenance services. In Cloud/SaaS mode, it rests on three pillars: simplicity, mobility, and interoperability.
Accessible everywhere, online or offline, and available in multiple languages, DimoMaint MX enables field teams and managers to plan, track, and optimize their operations. Thanks to its open architecture and the connectors available via the DimoMaint Store, it easily integrates with third-party solutions such as inventory optimization platforms. It was in this spirit that the partnership with DataPowa was created.
Key takeaways
- Integration of a CMMS with an optimization tool to improve maintenance inventory management.
- Automated calculation of inventory parameters (thresholds, safety stock, lot sizes) from real data.
- Reduction of costs related to idle stock while ensuring availability of critical parts.
- Time savings for teams, better traceability of decisions and standardization of practices across multiple sites.
- Fast implementation thanks to the open API of DimoMaint MX and the DPIM connector.
Ensured availability, controlled costs: a shared challenge
In industry, maintenance sits at the heart of a delicate balance: ensuring the continuity of assets’ operation, while avoiding excess spare parts inventory.
While CMMS tools enable efficient planning and documentation of interventions, the management of inventory parameters often remains based on empirical rules or historical thresholds.
It is at this strategic crossroads that the complementarity between a CMMS like DimoMaint MX and a solution specialized in inventory optimization comes into play, such as DPIM. By connecting these two worlds, maintenance data are transformed into performance levers for stores and the supply chain.
A synergy between two areas of expertise
The partnership between DimoMaint, an expert in CMMS, and DataPowa, a specialist in inventory optimization, answers a shared ambition: to make operational decisions more reliable using concrete data.
- DimoMaint MX forms the operational foundation: it centralizes all information related to assets, maintenance activities, spare parts and historical records.
- DPIM, DataPowa’s solution, then uses this data to analyze usage frequency, criticality, demand variability and lead times.
Using advanced algorithms, DPIM calculates optimal inventory parameters (safety stock, reorder point, lot size…) and simulates their impact on availability and tied-up inventory levels.
This complementarity results in a virtuous cycle:
- Data from the CMMS are used by DPIM to produce optimized recommendations,
- These are fed back into DimoMaint MX, enabling continuous, smooth and transparent management.
A seamless connection via the DimoMaint API
The integration relies on the DimoMaint MX API, which ensures a secure, bidirectional data exchange.
The following information is transmitted automatically to DPIM:
- Item references and store locations,
- History of stock movements,
- Optionally, data related to supplier orders.
DPIM processes these flows using statistical models designed for spare parts inventory. The calculated parameters can be directly applied in the CMMS, or be subject to simulations and manual adjustments if necessary.
This complete cycle can be deployed in under a week on a pilot scope, thanks to DimoMaint MX’s plug-and-play approach and the flexibility of its API.
Immediate benefits for field teams
The DimoMaint × DPIM integration generates tangible gains:
- More reliable inventory parameters: thresholds are adjusted based on real, up-to-date data.
- Significant time savings in analyzing and updating thresholds, with automated, traceable processes. Users report up to 10 times less time spent on these tasks.
- Better control of idle stock and stockout risks: up to a 30% reduction in stored value without degrading the service level.
- Harmonized practices across sites and teams: decisions are tracked, explained and shared through DPIM dashboards.
Thus, maintenance teams can focus on their core work, while stores benefit from dynamic, audited and actionable data.
Towards data-driven maintenance
This partnership between DimoMaint and DataPowa embodies a shared vision: making data a strategic asset in industrial management.
By connecting the CMMS to advanced analytics tools:
- DimoMaint enriches its decision-making use cases, and opens its platform to complementary business applications,
- DataPowa makes its optimization models directly accessible to field users, within their daily tool.
This approach helps build more agile, more connected maintenance, firmly focused on sustainable performance.
“This collaboration is part of our vision of field operations augmented by data. The digitalization of maintenance operations offered by DimoMaint MX allows us to capitalize on extensive historical, qualitative and quantitative data. DataPowa’s approach enables end customers to better leverage this wealth to ultimately perform better.”
— Adrien Coativy, Co-founder and CEO, DataPowa
About DimoMaint and DataPowa
DimoMaint is a European leader in CMMS SaaS solutions. Its DimoMaint MX solution, intuitive, mobile and interoperable, is used by more than 2,500 clients worldwide. Thanks to its application store, it easily integrates with other business tools to support the digital transformation of maintenance services.
DataPowa is a French consultancy and software publisher specializing in industrial inventory optimization since 2017. Its offering combines:
- Consulting, with a quick two-week assessment based on ERP/CMMS data,
- Training, short or in-depth, to disseminate best practices,
- Software solutions:
- DPIM, dedicated to maintenance inventory optimization,
- DPOP, focused on procurement management.
Deployed in more than 15 countries by large groups like Michelin, their solutions are compatible with major ERPs and CMMS, and can be operational in 1 week on a pilot version.
Article co-written by DimoMaint and DataPowa.
