Bolloré Logistics, through its innovation booster B.Lab, has developed “Journey Prediction”, a system for calculating a level of risk on a geographical route, according to its frequency and shipping lines.
This calculation is made possible by analyzing Bolloré Logistic’s’ historical data over the last three years. These data are integrated and analyzed by a solution combining a predictive calculation model and artificial intelligence to establish a probability of delay on the day of arrival initially requested by our customers.
Thanks to these forecasts, alternative solutions can be proposed. Indeed, changing a port of departure or arrival, postponing a shipping date or choosing another carrier can greatly limit the impact on sea freight transit time.
Quentin Marchand, Digital Project Manager Europe, comments: “Today, it’s important to enable our customers to anticipate the arrival date of their shipments with a predictive solution right from the order stage, 3 to 6 months in advance, so as to be able to fine-tune transport plans and modify them if necessary”.
Artificial intelligence is undoubtedly one of the ways of the future to help supply chain players deal with the risks they face, and improve the agility of relationships between carriers, logistics suppliers and shippers.
Source: Bolloré Logistics
