Accevo has been recognized in the 2026 Gartner Peer Insights™ “Voice of the Customer” for Manufacturing Execution Systems (MES). Based entirely on verified reviews from engineers, production managers, and IT teams who use the platform every day, Accevo received an overall rating of 4.9 out of 5 stars and an outstanding 97% Willingness to Recommend (based on 31 reviews as of June 2026). But a rating only tells part of the story. The rest is in the shop-floor results.
First-hand from the shop floor
Most IT industry rankings rely on analyst assessments. The “Voice of the Customer” report works differently – Gartner compiles it exclusively from reviews submitted by practitioners: engineers, production managers and IT specialists working in manufacturing plants. Every review undergoes rigorous verification, and software vendors have no influence over its content.
Accevo’s result is clear-cut: 89% of ratings are the maximum five stars and the remaining 11% are four stars – with not a single rating below that level. These ratings are complemented by the Frost & Sullivan Enabling Technology Leadership award granted to the platform. So which specific features and outcomes lie behind such strong user recognition?
The challenge facing production directors
Without an integrated system, a plant’s data is scattered. Individual machines report their status through separate controllers, planning is done in spreadsheets, maintenance keeps paper notes, and the quality department enters measurements by hand. As a result, no one has a complete, real-time picture of what is happening.
The consequences are costly. A line stoppage often only comes to light in the shift report, when it is too late to react. Machine inspections follow a calendar rather than actual wear, a full batch genealogy is missing when a batch has to be recalled, and management learns the real production cost of an order only days later.
MES Accevo: one system instead of five
The Accevo platform collects data directly from the plant’s machines and consolidates it in the MES layer – between the ERP system and machine automation. As a result:
- The production manager receives an instant alert when a line stops,
- The maintenance department schedules inspections based on actual machine operating time,
- The quality department gets instant access to full batch genealogy,
- Management tracks actual production costs in real time.
A key strength of the platform is its modular architecture built on a single, unified data foundation, which removes the need for separate tools that are difficult to integrate. The system rests on three main pillars:
- OEE & Microstops Intelligence – line efficiency monitoring and automatic detection of microstops,
- Paperless & EBR – digitalisation of production documentation and electronic batch records (compliant with GMP and FDA standards),
- MES/MOM – end-to-end production management with full traceability and integration with ERP, LIMS and WMS systems.
The offering is complemented by specialised modules: CMMS (with MTTR and MTBF tracking), APS Ganttplan (drag-and-drop scheduling), QMS (quality management with SPC charts), EMS (energy management) and a workforce skills module. Everything runs on a consistent data model developed by a single vendor, free of the architectural burden typical of software suites assembled through acquisitions.
Implementations backed by results
High user ratings are directly reflected in hard results from the shop floor. At Apator’s plants, downtime fell by as much as 72%, while AGC Automotive Poland achieved full return on investment (ROI) twice as fast as planned. It scales globally, too: British American Tobacco expanded its partnership with Accevo into an international contract covering more than 20 factories, along with a migration of the environment to the cloud.
The system’s impact is clearly illustrated by an OEE monitoring implementation at one manufacturing plant. Within three months, OEE rose from 31.8% to 65%, machine availability increased from 50% to 76%, and the number of defects fell by nearly 70% – while production volume doubled. The key finding was that the lack of a production plan accounted for almost 20% of all downtime – a process issue that no one had previously measured.
The system also stands out for its precise detection of microstops – short stoppages lasting just a few seconds that operators usually do not record manually. At one tobacco factory, Accevo’s automated monitoring delivered a 20% increase in OEE, a 115% improvement in MTBF and an 80% reduction in reporting and analysis time.
Why do customers choose and recommend Accevo?
- Machine integration included: Rather than shifting responsibility for machine integration onto the customer or third parties, Accevo takes contractual responsibility for it. The platform supports 30+ native protocols, and Accevo’s own automation engineers fit the sensors and wire the signals.
- Fast implementation (the 80/20 strategy): 80% of the system is a ready-made, proven product, and 20% is customisation to the plant’s specific needs. Work begins with a three-day on-site analysis, a proof of concept is delivered after three weeks, and the first measurable results are visible within 6-8 weeks.
- Modern architecture: A built-in time-series database (historian) eliminates the need for external OT middleware. The system can be deployed on-premise, in the customer’s cloud or as the Accevo Cloud service. This is in line with Gartner’s forecast that by 2030, 75% of manufacturers will move their MES systems to the cloud (compared with 38% today). The platform also offers AI algorithms for automatic classification of downtime causes and native compliance with ISO, GMP, FDA, NIS2 and the Cyber Resilience Act.
The solution is backed by an experienced team. Accevo has been on the market since 2006. Founded in Kraków, the company is now part of the German Dürr Group and has completed more than 850 implementations in 38 countries.
Start with a proof of concept
For companies considering digitalising their production, the simplest first step is to test the system on their own data. A three-week proof of concept project on a selected production line shows what the system can deliver on your line before you commit to a full rollout.
