Upcoming Logistics Trends at Logistic Conference 2018


Current and upcoming trends in logistics were the subject of the event “Logistics Conference 2018”. Experts and professionals from the field of logistics discussed, among others, the digitalization of Supply Chain Management, the implementation of innovations, their potential to transform the supply chain, the impact of the EU regulation GDPR on logistics, and increasing the productivity through virtual reality.

ANASOFT was invited, as they are a developer of innovative solutions for the logistics sector. The company was represented by Peter Bílik, an experienced professional in technological innovations for logistics and manufacturing, as well as on Smart Industry topics as cyber-physical systems such as Manufacturing Operations Management system EMANS. Peter also hosted a panel discussion on: “How Industry 4.0 Changes Manufacturing and Logistics”. The panel has addressed current and upcoming innovations and technologies in logistics, resulting in the automation and transformation of the traditional hierarchy of flows.

The attending representatives of enterprises were interested in how to motivate people to utilize informational technologies and how to teach employees to work with them. When the question of robot implementation came up, the companies confirmed they are resorting to this solution not because of financial reasons but due to the lack of qualified labor on the market.

From the statistics revealed during the thematic panel “New Trends and Technologies in Logistics,” it was stated that over 60% of companies plan to invest in informational technologies in the upcoming three years. Other hot topics were mostly the utilization of big data and autonomous systems through artificial intelligence for logistics processes.

ANASOFT also identifies the potential and versatility of big data and autonomous systems in logistics and manufacturing. Besides the implementation of technological innovations and Smart Industry solutions, the company is invested in research and development in the fields of autonomy and predictive management. These fields encompass artificial intelligence, artificial neural networks as well as the analysis of data from automatized manufacturing to identify patterns of behavior and relations and uncovering anomalies or automated guided vehicles.