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Transport automation

Digital Transformation 1 min read
Transport automation

When will transport become fully automated?

The dynamic development of computer technologies has played a significant role in shaping modern logistics processes. Technological solutions based on Machine Learning and NLP (Natural Language Processing) enable automation in entirely new areas.

Machine learning and natural language processing make the perspective of full transport automation much less distant. Autonomous vehicle projects are increasingly appearing in the portfolios of global brands. According to many experts, full automation of public transport in highly industrialized countries may occur within this decade.

What is the significance of transport automation in the context of logistics automation?

E-commerce is a relatively new sector within the trade industry. Even before the pandemic, the growing popularity of online commerce was clearly visible.

More and more retailers and companies are choosing to abandon costly physical stores in favor of online sales. This has significantly contributed to the rapid growth and development of logistics service providers.

Full automation of logistics and transport is both a dream for many SMB entrepreneurs and a necessity if they want to remain competitive against the Enterprise sector.

In most countries worldwide, it is now easy to order products through e-commerce platforms and global marketplaces. Logistics and transport automation enables delivery of most goods within 24 hours, regardless of location.

The higher the level of automation in a company’s logistics processes, the lower the cost and time required to fulfill orders.

The largest players on the market develop their own solutions, which can be quite surprising. An example is a well-known courier company whose drivers allegedly only turn right to avoid collisions and reduce fuel consumption.