When AI and IoT are added to MSDs

September 24, 2020

The main challenge of the Supply Chain is to be able to guarantee delivery times to its customers. However, in this context of globalization, where transport is international and multiplied

The main challenge of the Supply Chain is to be able to guarantee delivery times to its customers. However, in this context of globalisation, where transport is international and multiplied, the task remains difficult. Transport accounts for 50% of logistics expenses, many players are involved, and regulations are increasingly demanding.

How can we improve transport performance while reducing costs in this type of context? 


Today, there are a number of solutions to optimise transport management, but the most widely used is TMS (Transport Management Systems), which has already proved its worth on the market. Whether in terms of reducing transport costs or optimising operations. In the era of digitalisation of transport, TMS remains a key element. 


In today's highly competitive market, what makes a TMS stand out? 


New requirements...


To maintain a competitive advantage in a constantly changing market such as the supply chain, it is important to find new ways to improve efficiency but also to find new ways to save money. 


Requirements are growing and changing: sourcing of service providers, continuous control of transport costs, multimodal transport solutions, management of the international dimension, need for total visibility through global traceability.


In 2008, the primary objective of a TMS was to reduce transport costs. Today, it comes well after improved customer service, innovation, and improved productivity for example. (source: Gartner). 


The diversity of the functional needs of the various transport players has opened the doors to a multitude of very varied offers, ranging from logistics network design, real-time traceability, invoice control, automated EDI of orders and documents... This extended offer now meets the specific needs and expectations of each request, whether on the carrier or shipper side. 


There are many challenges for the TMSs today: 


  • The rise of collaborative work, via cloud solutions
  • The need for real-time through IoT
  • Predictive development via Big Data



... and new technologies to respond to it.


"Software is an excellent combination of art and engineering." According to Bill Gates. 


Artificial intelligence, previously reserved for powerful planning software, is becoming widespread at all levels of transport and logistics. AI is the technology of the future that cannot be ignored, enabling France to improve its competitiveness. The government has clearly understood this and has in fact released 1.5 billion euros until 2022 as part of the national strategy for artificial intelligence. 

Publishers have thus generalized the use of algorithms, learning machines and IoT. 

Bpifrance has thus identified no less than 552 French companies having raised more than 2 million euros and offering AI solutions. The technology has an impact on warehouse and road equipment, machinery and vehicles, but also on supply chain management software. 


AI can be found almost everywhere where there is data: in the ERP and WMS of the warehouse to forecast orders, manage PLCs, robots or the intelligent building. But also and especially in TMS, to plan routes taking into account exogenous factors and trends; or to analyze performance.


In order to have a TMS that will bring you significant strategic benefits, it is imperative that it is aligned with the digital age we are currently living in. 


  • Without the IoT, your TMS will not be able to provide you with real-time visibility of your flows. Thanks to real-time, you benefit from granular information, which feeds the predictive aspect of your TMS and therefore the anticipation of possible incidents. 
  • Without the AI, your TMS will not have the automated intelligence to build a regular transport plan for you, nor to analyze the data collected through the IoT in a fine detail. 



Everysens, IoT and IA expertise in 1 TMS rail solution


The solution to optimize and control its rail transport from end to end. Everysens combines its expertise in AI and IoT to offer the first collaborative, predictive and real-time TMS on the rail market. 


Thought for shippers and freight forwarders in the rail world, Everysens offers the first collaborative, predictive and real-time TMS on the market. This platform digitizes a set of transport processes, simplifies exchanges as well as decision support thanks to IoT and IA technologies. From the planning to the execution of the transport, this management software ensures you a proactive follow-up on your flows, a control of your transport expenses and above all an enriched relationship, by offering a quality and efficient service.


Everysens combines its expertise in AI and IoT to enrich the classical functionalities of a TMS to offer the first real-time collaborative TMS on the rail market.