Logistics Automation Trends in the Context of Globalization

  • fleet tracking and management systems (real-time transport visibility, predictive delivery, fuel management, security alerts, traffic density, cargo state monitoring, etc.)
  • cloud logistics (real-time cloud-based systems covering all logistics processes for transportation often used by Supply Chain members to manage and automate the chain for further cost and time reduction, increase the transparency of logistics)
  • artificial intelligence (computer vision, machine learning, decision-making on available data, prediction)
  • augmented reality (augmented reality glasses providing visual guidance in a warehouse for speed and accuracy improvement)
  • and many more.
  • Platform Integration (the platform on which the remaining components of the system operate, which includes hardware and software).
  • Data integration (Data that the system works with. Consist of DBMS and databases)
  • Application integration (Applications that implement the business logic for working with the data system. Consist of components of business logic, user interface, support components (framework), and server that provides storage and access to components).
  • Business process integration (Business processes, which are scripts for users to work with the system).

Fleet Tracking and Management Systems

Fleet tracking and management systems optimize operations via real-time fleet tracking systems. In various realizations, they may be used both by both for shipping companies and customers. Customers can control the state of transportation and condition of cargo. Parties that carry out transportation can manage the transportation process and fleet status to prevent undesirable effects like delays due to breakdowns, traffic jams, cargo thefts, etc.

Cloud Logistics

Cloud logistics integrates many stakeholders on one platform which is available at any time from any device for all participants. The main result for participants is to have one place for decision making and the possibility to agree on mutually beneficial cooperation for efficient supply chain management based on open data sharing. Cloud logistics may help in reducing costs and improving efficiency by full vehicle loads, an increase of profitability of return hauls, scheduling deliveries, and deliveries on the production demands, etc.

Artificial Intelligence

Artificial intelligence in logistics can increase the performance and efficiency through automation in the following areas:

Augment Reality

Augment reality with the help of extra devices helps to combine real-world with data in an information system. In logistics and transportation, it may be used for quality and time improvement of loading operations by following the 3D model of stacking and securing cargo. Also, AR helps to correct load distribution on vehicle axles improving delivery and cargo safety.

Conclusion

Logistics, as a whole, is a very complex industry that combines a variety of processes. And where processes exist, there is an opportunity for automation, control, and improvement what is proved by leading companies. Today’s technological advantage is tomorrow’s industry standard. Therefore, in order not to lose the market, it’s necessary to keep up the pace of development, including the area of information technology.

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#Outsourcing IT company with a focus on #web and #mobile app development in #ReactJS, #NodeJS, #JavaScript, and more. www.xbsoftware.com