Response One Discussion Thread
Thank you for your post. It was very insightful. However, according to various
researchers, I would like to add that the following Careers in logistics demand technical
advancement. Product knowledge aids in successful sales forecasting. Another technology that
has gained popularity is blockchain technology. It is one of the most current applications in the
industry of logistics. Effective supply chain management necessitates planning and collaboration.
A solid understanding of logistics systems, including automation, is required for work in the
supply chain department. To forecast the future, for example, it is vital to comprehend consumer
desires. The forecasting process must include strategies that stimulate management procedures
and guide personnel toward the business goal. As part of the digitization of logistical operations,
employees must integrate digital technologies (Entchev, 2018).
The field of logistic information systems is focused on enhancing business logistics
systems to increase performance. The subject is related to the classroom module's logistics
management material. Both demonstrate the importance of advanced technology in a variety of
organizational settings. Logistics information systems in digital form follow a well-organized
framework. Proper software and computer technologies may be required to facilitate data
processing to put the information into practice. Managers must focus on a range of elements to
achieve essential company goals. The topic offers a better understanding of logistics system
architecture and the need for interconnected corporate logistics systems. The module curriculum
and textbook handle integrated operations planning and logistics. It's crucial to grasp the
principles and know how to apply them in real-life circumstances. Companies must provide
logistical support to establish or attain well-coordinated functions of several components. The
study subject is analogous to the topic covered in class because it permits the conveyance of
information via Informational Technology systems to enable data processing. The data comes
from a firm that uses logistics information systems to make data collecting and processing more
efficient. When data is captured in computer systems, knowledge is developed, essential for
improved logistic processes (Heriyanti & Ishak, 2020).
References
Entchev, E. (2018). The innovative approach to the development of automated logistics
information systems. Innovations, 6(3), 89-91.
Heriyanti, F., & Ishak, A. (2020, May). Design of logistics information system in the finished
product warehouse with the waterfall method: review literature. IOP Conference Series:
Materials Science and Engineering (Vol. 801, No. 1, p. 012100). IOP Publishing
