Digitalization of business processes in manufacturing: how to approach it with AI

Artificial Intelligence solutions

Digitalization of business processes

In all sectors, the digitization of business processes is becoming increasingly essential to remain competitive on the global market, and in this context, artificial intelligence (AI) is a key technology that enables the efficient management of large amounts of information.

In this article, we will explore how AI can be used to address the challenges and exploit the opportunities of business process digitization in the manufacturing sector.

The most common problems in the manufacturing sector

Service and manufacturing organizations are constantly faced with operational, administrative and strategic challenges on their path to success.

However, with the advent of digitalisation of business processes, many of these challenges can be solved efficiently and effectively.

Below is a list of the most common problems that service and manufacturing organizations are faced with, indicating the technological solutions.


Inefficient document management

The use of digital document management systems eliminates the need to search for physical documents which can take considerable time and resources

Poor visibility into processes

The use of Business Process Management platforms allows you to implement integrated solutions that offer a complete overview of the processes in progress to obtain optimal visibility of business processes

Inefficient supply chain management

IoT technologies and data analytics allow constant tracking of products and identification of inefficiencies to improve the timeliness of deliveries

Inefficient internal communication

Instant communication tools, possibly supported by generative AI technologies, make it possible to eliminate obstacles in the flow of information within the organization

Poor control of machinery

Companies can benefit from predictive maintenance thanks to software solutions that acquire data from connected IoT networks and are based on the combination of inductive (machine learning and deep learning) and deductive (automatic reasoning) techniques, thus allowing them to avoid unplanned downtime planned and the slowdown of the production cycle 

Industry 4.0 technology offers evident possibilities for organizations in terms of product and process innovation, translating into a considerable competitive advantage.

The benefits of digitalization of business processes

AI can be employed to address the challenges and leverage the opportunities of digitalization of business processes in the manufacturing sector because it offers various possibilities to organizations.

Some of the main benefits include:

  • Optimization of production processes;
  • Predictive maintenance;
  • Automated quality control and safety through Computer Vision;
  • Intelligent supply chain management;
  • Increased efficiency and productivity;
  • Reduction of time, resources, and costs;
  • Better decision-making;
  • Error reduction or elimination.

Digitizing business processes is, therefore, an increasingly necessary solution for any organization that wants to create a successful long-term path. It can lead to a series of advantages, such as real-time analysis and predictive maintenance through continuous machine monitoring, new business models through optimal staff scheduling, activity planning, inventory management, and supply chain governance, cost reduction (predictive maintenance alone can result in at least a 20% medium-term saving in management and repair costs), and efficient document management and internal communication within the organization.


Organizations today are faced with operational, administrative, and strategic challenges more than ever. However, unlike in the past, thanks to the evolution of technology, businesses can now find support by employing new innovative solutions to increase productivity efficiency and become innovative SMEs.

The digitalization of business processes in the manufacturing sector is, therefore, a strategic opportunity to improve efficiency, productivity, and competitiveness. Artificial intelligence plays a key role in this process by offering advanced solutions to optimize production processes and support business digitalization—an ongoing process.

For example, Revelis PlugAIn is a platform through which organizations, from the food sector to industrial machinery production to large-scale warehouse management, can obtain multiple advantages, including cost optimization, waste reduction, improved productivity, and enhanced value for investments in innovative machinery.

Would you like to discover how to avoid unplanned machine downtime or address any other issues that reduce the efficiency of your business?

Contact us for a consultation, and you will receive a personalized solution.