Predictive analysis in logistics: anticipating for better delivery

March 9, 2022

Planning and anticipation are the key words in logistics! Indeed, anticipating the demands and needs of its customers, but also the logistical hazards, means avoiding superfluous expenses and saving time in the management of the logistics chain.

Planning and anticipation are the key words in logistics!

Indeed, anticipating the demands and needs of its customers, but also the logistical hazards, means avoiding unnecessary expenses.

In short, it allows for better optimisation of the supply chain.

Supply chain management

Supply chain management is the entire physical and information flow from the acquisition of raw materials to the distribution of finished products to the customer.

The process can be complex, especially if the company has many factories and transports. For this reason, companies are constantly looking for ways to make their supply chain more efficient in order to reduce their logistics, production and storage costs.

Thanks to specific tools, Supply Chain professionals will be able to analyse historical data in order to make forecasts and optimise their Supply Chain. 

What is predictive analytics in logistics?

Predictive analysis in logistics is the analysis of historical and real-time data to anticipate the behaviour and trends of individuals in order to propose solutions to optimise logistics management.

Predictive analytics is about making assumptions about future events. By anticipating future events, companies can reduce risk, optimise operations and potentially increase revenues.

Some examples of the benefits of predictive analysis in the supply chain

  • Demand analysis. By analysing past orders, the company will be able to estimate demand as accurately as possible.
  • Inventory management. A stock estimate will allow the company to avoid stock-outs or surpluses.
  • Detection of anomalies and fraud. Predictive analytics will predict the probability of future events. While traditional reporting can detect fraud after it has occurred, predictive analytics can detect it as it happens. For example, if one of your assets fails, you will receive a real-time alert so that you can provide an alternative as soon as possible.
  • Customer support. The answers to your customers will be more precise and detailed.

What tools are on the market for predictive analysis of your supply chain?  

Many software packages exist, but the TMS remains the best known tool in logistics. Indeed, the TMS is constantly evolving. Numerous algorithms are integrated into this software allowing the addition of predictive functions for planning and optimising the supply chain.

The Everysens TVMS

Everysens offers a TVMS (Transport Visibility Management System): the solution for optimising and managing your transport from end to end.

Thanks to its expertise in AI and IoT, Everysens has been able to enrich the classic functionalities of a TMS in order to offer the first collaborative, predictive and real time TMS.

Discover our platform through a demo .

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Why Arkema chose the Everysens solution.