Platformization refers to the digital transformation and the difficulty faced by companies of changing from a model with information silos that don’t communicate well to a transversal model where the experience of customers whether internal or external is the main factor. Key characteristics of platform companies are scalability, which makes it easy for them to reach large numbers of users, and fully integrated systems providing access to comprehensive data for both internal and external users, and the improvements in performance and productivity due to this process.
Artificial intelligence has led to a resurgence of interest in platforms, particularly because generative AI has made it possible to search through data in company silos, and to bridge these silos.
Some examples of platforms in companies: in aeronautics, companies are planning to integrate reduced numbers of suppliers, and to develop communication systems with extensive links to data systems, which provide a better understanding of supply chains with location and availability data for products that enables them to better integrate their production systems.
Other examples of platform companies: marketplaces with numerous suppliers which synchronize product flows to ensure that goods arrive right on time to companies that order from them, and who also make use of predictive AI-based models.
Artificial intelligence has led to a resurgence of interest in platforms, particularly because generative AI has made it possible to search through data in company silos, and to bridge these silos to create more integrated user experiences. This has brought a fresh impetus to the drive to continue the digital transformation of large companies.
