The adoption of artificial intelligence (AI) in manufacturing opens up exciting opportunities to improve decision -making, predictive maintenance and quality control. AI -focused technologies allow manufacturers to cause large amounts of data, gain precious information, automate routine tasks and stimulate innovation at an unprecedented rate. Although there are challenges to overcome, the potential advantages prevail from far the obstacles, which means that AI changes the situation for industry.
Manufacturers are eager to adopt AI
A recent report on the Global complex manufacturing perspectives shows that 40%of manufacturers consider the implementation of AI and automation as their main digital transformation priority, followed by improving digital integration and real -time information (29%) and costs management while adopting new technologies (24%).
Already, 80% of manufacturers devote either resources to the implementation of AI, or short -term plans to do so. Twelve percent have already deployed the AI or are actively doing so, while 57% actively look for use cases and another plans to deploy AI in the next 12 months.
This adoption indicates that AI will deeply influence the manufacturing industry. By taking advantage of the main technologies focused on AI and integrating them with their ERP solutions, manufacturers can completely change their way of working, by removing the burden of manual tasks of employees while making operations more safe and more effective.
Adopt AI in calling calls for a clear and detailed strategy
Despite the enthusiasm of manufacturers for the adoption of the AI, the survey indicates that almost a third of manufacturers find it difficult to integrate new technologies, while 15% say that obsolete systems create ineffections and an additional 15% suffer from a limited scalability to meet future needs.
Small to medium -sized manufacturers are increasingly consider the implementation of AI as a non -negotiable part of their strategies. However, rather than being motivated by a commercial need, this is often in response to the pressure of the stakeholders or the need to follow the pace of the competition. In reality, it is essential for the manufacture of CIOs to realize that the first step in a successful AI course is to clearly identify and define the specific commercial objectives behind the implementation of the AI. As with an ERP implementation, it is advisable to select a small management project from which the lessons can be learned for the next phase of the trip.
Another factor of crucial success is the desire to invest in the implementation of the AI - not only in time and money, although both are essential, but in the collection and storage of data. ERP has an essential role to play here with its ability to generate precise and real -time data as well as usable information. Manufacturers can obtain a unified and holistic view by integrating their AI systems into their ERP, their human resources management and their customer relationship management solutions.
Cobots and dark factories gain ground
Until now, technology implementations such as robots, cobots and dark factories have been the exclusive field of large manufacturers who could accommodate substantial initial investments. The initial cost was prohibitive for small and medium -sized manufacturers, but it is starting to change.
An emerging trend is to see the sellers of these technologies go from a CAPEX model to a model focused on operating expenses. This will a lot facilitate manufacturers of small and means of implementing dark factories and warehouses, especially when robots and cobots are starting to become cheaper. We can even see subscription models coming into play, allowing manufacturers to pay the lies of robots and cobots.
A COBOT, or collaborative robot, is a type of robot designed to operate alongside humans in a shared workspace. This new generation of intelligent robots can work safely and effectively alongside humans, apply to different tasks and learn to become more effective in their work and navigate in their environment. As robots enter the labor market, humans will develop new skills concerning management and interaction with automated colleagues.
The integration of cobots with ERP allows transparent data exchange and coordination in different parts of the production process, again contributing to more rationalized and effective operations.
Smart supply chains
The logistical challenges of manufacturers concerning the supply of components and the management of complex inventory and production infrastructure are perfectly suited to automated and intelligent solutions. Tools fueled by the AI which take advantage of the analysis of the data in real time will allow a more precise demand forecast and automated decision -making, helping manufacturers to build supply chains which are increasingly resilient and adaptive to changing market conditions. In the future, the AI will allow manufacturers to anticipate disturbances more effectively and to identify opportunities for improving efficiency, which leads to an improvement in the customer experience and the performance of the company.
Continuous learning will result in adoption
While manufacturers adopt AI, the greatest impact in an organizational perspective will be the implementation of labor and education. To successfully integrate AI into ERP systems and maximize their potential, manufacturers must increase and educate their workforce to create many AI innovators in the company. Manufacturers who invest in the development of AI skills of their employees will benefit from higher management and more fluid change management.
Manufacturers can also hope to get more value from the agentic AI. When they are integrated into ERP systems, these agents can be used to automate workflows, solve problems and improve customer experience – all main priorities for manufacturers. The advantage of the agentic AI is that it goes beyond the provision of static information, offering summons and predictions based on historical data and in situ signaling anomalies so that manufacturers can take immediate measures rather than discover differences a few weeks later.
Leadership in the AI era
Positioning a business as a leader rather than a follower in the AI era will become an increasing priority for many manufacturing companies. It is no longer good enough to simply adopt new technologies. While obstacles to entry continue to fall, it must be done in a more innovative, efficient and efficient way than competition. The identification of opportunities will become more and more a priority in the future, and the key is a transparent integration between AI and ERP.