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In order to transform and close existing gaps, digital capabilities and information excellence are key.
FREMONT, CA: Speed and timing are essential in an increasingly real-time economy. Logistics, supply chains, and the transportation industry are all affected, despite what might seem obvious.
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Logistics and transportation have always been characterized by efficiency, optimization, speed, and timing. Industry 4.0, also known as Industry 4.0, represents the next revolution in industry, fueled by digitization and the rise of the Internet of Things (IoT).
Faster business is driven by human and connected factors: People are increasingly mobile and expect more from their phones, which are among the many drivers. Transportation and logistics are no different and customer engagement and experience rank high in the top priorities as well. As a result of several evolutions, including mobility, there has been a shift in behavior, which is further enhanced by the experiences that your customers are used to in other contexts than your business interactions and transactions.
Hyper-connectedness in transport and logistics: We now turn our attention to the transportation and logistics industry where data management, analytics, visibility, and king customers are all crucial. Every time goods are handled, shipped, or treated in any other way, processes, information flows, and interactions occur. Supply chains are highly connected on all levels due to the blurring of the lines between physical and digital.
Data and information at the core: Analytics and data are key to speeding up processes, enhancing visibility for partners and customers, digitizing value chains, and developing new business models in the context of digital transformation. Data and information are key to disrupting or being disrupted in many subsectors of transportation and logistics.
The following list makes it immediately clear which digital technologies play a role in the industry. Most of them revolve around location, connection of devices, big data analytics, cognitive computing and obviously the platforms where data are captured, processed and leveraged/accessed such as mobile platforms, information capture and processing platforms but also the networks and data environments such as the cloud.
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