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Transitional Shift from Automation to AI for Industrial OEMs

As the world is witnessing development at an unprecedented pace, Industrials are also taking benefit of these advancements, one such technological advancement is Automation. Beyond mere automation, AI innovations propel Industrial OEMs into a new era of efficiency, adaptability, and competitiveness, eventually leading to unforeseen growth. In this blog, we will dive deep into the significant impact of Artificial Intelligence on Industrial OEMs and how its implementation will lead Industrial OEMs to shape a new manufacturing era.

According to McKinsey’s industry surveys are telling: that 94% of respondents view digital solutions as indispensable for future automation endeavors. Moreover, there’s a notable trend towards OEM partnerships for standardized industrial IoT platforms, indicating a collective recognition of the transformative potential of digital technologies.

Traditionally, Industrial OEMs prioritized automation to streamline processes and boost productivity. However, recent advancements have catalyzed a paradigm shift towards AI-driven solutions. Unlike conventional automation, AI infuses processes with intelligence and decision-making capabilities, empowering machines to learn, adapt, and optimize operations autonomously.

Industrial OEM’s Strategic Shift with AI Innovations

Artificial Intelligence-driven Predictive Maintenance

One of the pivotal areas where AI demonstrates its prowess is in predictive maintenance, a critical aspect of the aftermarket business. Industrial equipment’s susceptibility to wear and tear often results in downtime and costly repairs. AI analyzes historical performance data to forecast potential failures, enabling proactive maintenance scheduling. This not only minimizes downtime but also extends equipment lifespan, bolstering operational efficiency.

Production Planning and Optimization

AI-driven advancements are revolutionizing production planning by intelligently optimizing schedules, resource allocation, and workflow management. Leveraging machine learning, Industrial OEMs can derive insights from vast data sets encompassing marketing trends, historical production data, and supplier performances. These insights inform decision-making, enhancing efficiency and trimming production costs.

Supply Chain Resilience

The intricacies of modern supply chains pose significant challenges for Industrial OEMs, particularly in the aftermarket domain. AI emerges as a vital ally in fortifying supply chain resilience. By providing real-time insights and proactive issue identification, AI enables swift adaptation to dynamic market conditions. From demand forecasting to logistics optimization, AI equips Industrial OEMs with the agility to mitigate risks and optimize performance.

Customization and Flexibility of Operations

AI-driven automation empowers Industrial OEMs to achieve unprecedented levels of customization and operational flexibility, especially in addressing aftermarket needs. Machinery endowed with AI capabilities seamlessly adapts to evolving product specifications and production requirements. This agility enables Industrial OEMs to cater to the burgeoning demand for personalized and niche aftermarket products while maintaining efficiency.

Entytle’s Role in Aftermarket Optimization

Entytle, a leader in aftermarket solutions, provides Industrial OEMs with AI-powered tools to optimize aftermarket sales and service operations. Through predictive analytics and machine learning algorithms, Entytle helps Industrial OEMs identify aftermarket opportunities, prioritize sales leads, and streamline service processes. By leveraging Entytle’s platform, Industrial OEMs can identify new revenue streams, enhance customer satisfaction, and drive aftermarket growth.

As Industrial OEMs embrace the transformative potential of AI, particularly in the aftermarket domain, they transcend conventional automation, unlocking new frontiers of efficiency, adaptability, and competitiveness. By strategically integrating AI innovations across predictive maintenance, production planning, supply chain resilience, and aftermarket operations, Industrial OEMs position themselves as pioneers in the fourth industrial revolution. This paradigm shift not only enhances operational excellence but also heralds a future where AI assumes a central role in shaping industrial manufacturing’s evolution.

Also, read our article on Build vs Buy an Installed Base Intelligence Platform – Strategic Decision Framework.

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