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Must-Read Guide
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2025 Global Software Outsourcing Rates and Trends GuideDon't get left behind—discover the latest rates and strategies for success in the global software development outsourcing market in 2025.
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New eBook
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The True Cost of Software DevelopmentHidden costs can wreck your budget. Our new eBook breaks down the true cost of outsourcing—get your copy to stay ahead.
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Stop Chasing Low Hourly Rates: Unlock the True Value of Offshore DevelopmentReduce development costs without compromising quality.
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Unlock Offshore Success with Accelerance AlignDiscover how Accelerance Align helps businesses overcome software outsourcing challenges through expert guidance, cultural integration, and tailored strategies.
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About
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About Accelerance
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Our History
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Accelerance: Our HistoryThere's great talent everywhere and great teams everywhere, which is the basis of the Accelerance model.
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Software Without Borders
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New Episode Every Week!Tune into our podcast Software Without Borders, the essential listen for technology leaders and business owners in the software sector who crave insights from the industry’s top minds.
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Synergea: A Blueprint for Building Effective, Globally Distributed Teams in the New Era of Software DevelopmentPeople are first and locations are secondary when it comes to software development success.
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Customer Stories
Experience the success stories of customers who entrusted us and our certified partners.
See how we've advised companies like yours to beat challenges and
seize opportunities through software outsourcing.
Elevating Paper Production Efficiency: Predictive Maintenance with Machine Learning
Minimized downtime and optimized maintenance schedules.
Overview
As one of the largest paper producers in Brazil, our Accelerance partner leveraged Amazon Sagemaker and manufacturers to train a Deep Learning Model for predictive maintenance of paper machinery.
The goal was to empower engineers with data-driven decisions for maintenance, leading to increased operational efficiency, reduced downtime, cost savings, and an extended lifespan for critical equipment. Project timeframe was from April to July and a budget of 70K.

Industry
Manufacturing

Challenges
The paper production industry faces numerous challenges when it comes to machinery maintenance. Unplanned downtime can lead to significant losses in productivity and revenue.
Traditional maintenance approaches often struggle to accurately predict machinery failures, resulting in excessive manual inspections and unnecessary replacements.
Solutions
To address these challenges, they implemented a state-of-the-art Deep Learning Model using Amazon Sagemaker.
By analyzing historical data and identifying patterns, the model can accurately predict machinery failures before they occur.
This allows for proactive maintenance and efficient allocation of resources. The model continuously learns and improves over time, ensuring its predictions are always up-to-date.

Results
The implementation of the Deep Learning Model for predictive maintenance has yielded remarkable results at the paper producer.
Operational efficiency has significantly increased due to minimized downtime and optimized maintenance schedules.
This, in turn, has led to substantial cost savings for the company. Critical equipment now benefits from an extended lifespan, reducing the need for frequent replacements and resulting in long-term savings.
The engineers now have access to data-driven insights, empowering them to make informed decisions and take proactive measures to prevent machinery failures.
Looking to create innovative solutions?
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