The impacts and changes of digital transformation in the manufacturing industry


According to many experts on the subject, some impacts of the digital transformation of the manufacturing industry can already be seen.

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Industrial dynamics demand more technology. The managers of this segment need a panoramic view of everything that happens on a daily basis.

From production to fiscal and financial control, through logistics, billing, suppliers, customer service, sales, etc., all of this requires a new look at technological resources and services.

Basically, it is necessary to have several modules of a business management system - or have several different systems to manage the most varied processes, cross data in a timely manner and generate information to make the best decisions.

This is where industries need a more strategic look at digital transformation.

The implementation of smarter strategies to optimize the resource and supply chain can improve the cost efficiency of resources such as energy consumption and worker safety, for example.

Excellence in services, based on solutions and methods based on digital transformation, is also essential. With connected devices and the internet of things, for example, the ways in which after-sales services are delivered can boost the bottom line of digitally transformed - and transformational industries.

According to many experts on the subject, some impacts of the digital transformation of the manufacturing industry can already be seen.

By having a modern framework of solutions, services and resources, such as intelligent robots, drones, systems of high technical complexity (including artificial intelligence), sensor technologies, among others, companies in the manufacturing sector are able to:

  • Improvements in the integration of processes through the combination of intelligent systems and applications (the entire manufacturing process may already be online).

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- Gain more operational efficiency in product production, logistics, among others;

-Enhancement of innovation through the capture, ordering and rapid and accurate analysis of internal and external data (from the market, from social networks) to predict patterns of consumer behavior, for example;

-Better use of resources (inputs, tools, machinery ...);

- Significant cost reduction by combining scale gains in production and waste mitigation;

-More motivation of employees, who start to have their day to day work more intelligent and functional;

- Gain customer satisfaction and, consequently, corporate reputation;

-Faster speed to respond to market demands and understand the movement of competition etc.