Success stories of the implementation of artificial intelligence in #logistics, #transportation, #supplychain

Barcelona, October 23, 2020.- The present of transport and logistics companies, within any supply chain, is technology to gain competitiveness, efficiency and security. We need to control all sources of information, all types of data, in any format. And then, interpret the large volume of figures and data to extract business decisions, day by day. Here is an Information Age report on different success stories in the implementation of artifical intelligence in supply chain companies:

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It’s up to the TMS software to meet the requirements of the transport companies and not the other way round

Author: Julio Borrell, Chief Operating Officer at AndSoft 

Most TMS manufactured by companies with experience in this sector are flexible solutions, but are also equipped with a standardized core

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The supply chain software is changing for the integration of AI, IoT, Blockchain, ML, etc.

Barcelona, October 3, 2019.-  AndSoft selects the best experts and experts in Software applied to the Supply Chain. Specifically, to the TMS for transport and logistics. Today’s analysis confirms that the developers’ work in assuming new technologies, such as the Blockchain, for transport. We recommend a careful reading of the details in the market opinions.

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Approach to the integration of artificial intelligence in the strategy for its supply chain

Barcelona, ​​March 25, 2018.- The digital transformation that we are fortunately experiencing is dizzying. Unstoppable. Necessary The Directors of systems, information technologies, IT, integrate in their companies new solutions, new platforms.

But they see that the next day they have to know other technological offers, other change management, new innovations. It is the constant technological chain, attached to the supply chain.

The optimization of the processes, the increase of the productivity, need their time of study, analysis, implantation, more study, adaptation to the changes, monitoring and verification of results.

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