Dear Customer,
The evolution of Nubeprint continues. After optimizing the management of consumables, inventories, and Cash Flow, we are taking another step forward towards intelligent automation in print management.
We are pleased to introduce the Nubeprint O/L Agent, an AI-powered agent designed to autonomously identify, analyze, and resolve issues related to DCAs and disconnected devices, two of the main causes of inefficiency in managed print environments.
Thanks to its continuous monitoring capabilities and initiative-taking approach, the AI Agent can automatically resolve up to 70% of these incidents, significantly reducing the need for manual intervention and accelerating response times.
Its impact translates into direct benefits for your business:
• Increased availability of printing devices.
• Reduced recurring incidents and operational emergencies.
• Savings in management and technical support hours.
• Lower administrative workload for service teams.
• Greater accuracy and continuity in meter collection for billing purposes.
• Improved overall efficiency of the print fleet.
As part of the NUBEPRINT PERFORMANCE CHALLENGE, we continue to recognize customers who embrace innovation and make advanced use of the platform. Participants who stand out through the adoption of these new intelligent capabilities will gain access to exclusive experiences, culminating in an invitation to the Madrid Grand Prix, taking place this September.
Now is the time to take the next step.
Contact our team to learn how the O/L Agent for disconnections can help you automate incident management, improve operational efficiency, reduce support-related costs, avoid urgent situations, and ensure faster and more accurate billing.
Get in touch today and discover how artificial intelligence can transform the management of your printing environment.
Watch the following video:
Best regards.
Nubeprint
www.nubeprint.com
email: info@nubeprint.com
To keep you informed of the latest updates, we’re sharing with you the models that were added to Nubeprint in May 2026:
(Average time to register a model: 2.4 days)
Brother,HL-3180CDW,Color
Brother,HL-L8570CDW,Color
Brother,MFC-J4355DW,Multifunctional Color
Brother,TD-2350D,Label
Canon,G4070,Color
Canon,imageFORCE C3150,Multifunctional Color
Canon,Pixma iX7000,Multifunctional Color
Canon,Pixma TS9100,Multifunctional Color
Citizen,CL-S621,Label
Fujifilm,Apeos 2560,Multifunctional Monochrome
HP,DesignJet Smart Tank T908,Large Format
HP,LJ MFP X53052,Multifunctional Monochrome
HP,OfficeJet Pro 9110b,Multifunctional Color
Katun,Arivia M3135,Multifunctional Monochrome
Katusha,M240,Monochrome
Konica Minolta,Bizhub C268i,Multifunctional Color
Kyocera,CS 2552ci,Multifunctional Color
Kyocera,TASKalfa 8052ci,Multifunctional Color
Oce,ColorWave 3500,Large Format
Ricoh,IM 3510,Multifunctional Monochrome
Ricoh,Pro 8420,Multifunctional Monochrome
Sharp,BP-71M55,Multifunctional Monochrome
TSC,MB240,Ribbon
Best regards.
Nubeprint
www.nubeprint.com
email: support@nubeprint.com
Nubeprint Stood Out at The Recycler Live & Trade Days 2026
This event, held in Dortmund from May 20 to 22, established itself as one of Europe’s most important gatherings for the remanufacturing, recycling, and reuse industry in the printing sector. The event embraced a more modern and approachable format, combining a trade exhibition, conferences, and extensive networking areas.
Unlike traditional trade fairs focused on large exhibition stands, the event placed its emphasis on professional relationships, the exchange of ideas, and business opportunities. More than fifty companies and organizations linked to the consumables, remanufacturing, sustainability, and circular economy markets took part in this edition.
One of the event’s most prominent spaces was “The Briefing Room,” an exclusive conference program that addressed topics such as European regulation, sustainability, industrial reuse, and the digital transformation of the printing market.
Among the most notable presentations was the session delivered by Antonio Sánchez Navarro, CEO of Nubeprint, titled “Who Controls the Data, Controls the Margin.” His presentation explored how data control and operational intelligence are redefining profitability in the managed print services sector. Sánchez explained that future competitiveness no longer depends solely on hardware or consumables, but on the ability to transform data into strategic decisions through tools based on artificial intelligence and advanced analytics.
Nubeprint’s participation brought an innovative and technological perspective to the event, reinforcing the fair’s central message: the industry is evolving toward smarter, more sustainable, and more connected models.
Source: https://therecycler.com/live-2026/the-briefing-room/Nubeprint
Who Controls the Data, Controls the Margin
The Recycler Live & Trade Days 2026 continues to expand its program with the participation of Antonio Sánchez Navarro, CEO of Nubeprint, who will bring a data- and AI-driven perspective. The event, taking place from May 20 to 22 in Dortmund, will gather industry professionals to discuss strategic decisions in an increasingly demanding environment.
For years, the business relied on hardware, contracts, and consumables supply. This model worked while the market was growing, as increasing volumes absorbed inefficiencies and protected margins. However, today we operate in a mature market, where margin pressure is constant and driven by structural change.
The contested installed base — printers not directly managed by manufacturers — is shrinking. As OEMs integrate services, platforms, and closed ecosystems, the competitive space for independent players is narrowing. The market is not disappearing, but it is being redistributed, especially to the disadvantage of those who do not control information.
When the Product No Longer Differentiates
Hardware no longer provides a sustainable competitive advantage. Quality across manufacturers is largely homogeneous, and technical differences rarely influence customer decisions.
Faced with this reality, many players have turned to price competition, leading to continuous margin erosion.
If the product no longer differentiates and price destroys profitability, competitive advantage must be found elsewhere: data. Every printed page generates information, and every connected fleet produces strategic data.
The key question is no longer whether data exists, but who can structure it, analyze it, and turn it into decisions before others do.
The Silent Shift in the Sector
Some manufacturers understood long ago that data is a strategic asset. As a result, they have developed proprietary platforms and closed ecosystems that allow them to anticipate demand and optimize operations.
Meanwhile, much of the channel continues to operate reactively:
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Forecasting based on historical data
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Stock held “just in case”
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Production after orders are received
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Avoidable technical interventions
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Immobilized capital
This model is not a mistake, but a legacy of a different stage. However, in a market that does not grow for everyone, inaction leads to a gradual loss of margin.
The solution is not to replace the current model, but to complement it with a data-driven intelligence layer that improves operational precision.
Management by Intuition vs. Management by Certainty
Two management approaches now coexist:
Intuition-driven companies:
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Purchase based on historical patterns
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Produce using estimated forecasts
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Maintain high stock levels
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Compete on price
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React late to the market
Certainty-driven companies:
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Anticipate demand with precision
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Align production with real consumption
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Optimize inventory
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Reduce immobilized capital
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Minimize technical issues
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Protect margins
The difference between these models is not technological, but structural.
From Business Intelligence to Artificial Intelligence
The sector has experienced a similar situation before with Business Intelligence. Many companies implemented tools without changing how decisions were made, resulting in attractive dashboards with little real impact.
A similar pattern is emerging with Artificial Intelligence. While its potential is undeniable, many projects fail or are scaled back due to issues such as:
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Lack of measurable return
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Underestimated costs
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Poor or unstructured data
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Unrealistic expectations
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Misalignment with business needs
The common mistake is starting with technology (“we want AI”) instead of starting with the problem (“which decision do we want to improve”).
Data-driven operational intelligence is not an experiment, but a strategic layer built on existing data.
The Key Question for the Sector
In the coming years, the redistribution of margin and market share will not depend on hardware, but on who can:
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Anticipate demand
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Reduce immobilized capital
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Optimize production
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Minimize unnecessary interventions
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Control information
The real question is not whether to invest in data, but how much margin companies are willing to lose while waiting.
Dortmund: A Necessary Debate
In Dortmund, key topics will be addressed, including:
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How to avoid common mistakes in AI projects
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Identifying real barriers (cultural and strategic)
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Setting realistic expectations
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Turning data into competitive advantage
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Understanding the role of closed ecosystems