Where OEMs Should Consider AI Implementation

AI software also allows for increased flexibility within machines, allowing machines to adapt to changes in product or random defects without needing to be completely recoded. This ability to adapt can also be applied to item picking software, where AI software can reliably pick items out of a case that are at random orientations.

This combination of improved flexibility and function may allow new types of robots to be created that are able to perform multiple different tasks with little change in coding.

OEMs creating their own AI software

OEMs have the option to create their own AI software. Some companies, such as Siemens, have already done so.

This could provide benefits as a standalone product, and/or be integrated into an existing customer support service.

However, as the data from machines generally belongs to the customer, there is little obvious competitive advantage to OEMs in implementing custom AI software that is not available to other companies.

Increasing use of Machinery as a Service (MaaS)

Improvements in predictive maintenance solutions may reduce the risk of MaaS for OEMs, potentially leading to an increase in the use of this form of partnership.

With ownership of the data from the machine, OEMs would be able to continuously monitor machine health for thousands of machines, at minimal cost. This could increase the confidence of OEMs to offer MaaS as they may feel more able to guarantee the minimum levels of uptime required by customers.

SOURCE: PMMI Business Intelligence: 2024 The AI Advantage in Equipment: Boosting Performance and Bridging Skills Gaps

For more insights from PMMI’s Business Intelligence team, find reports, including “2024 Trends in Remote Services and Monitoring” and “2023 Packaging and Automation in the Warehouses of the Future” at pmmi.org/business-intelligence. 

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