SDG’s of application
Offers from L2F
Optimize transportation routes, energy consumptions, adjust quantities to needs, make accurate forecasting
Bakis logistical planning engine
A centralised system which makes live container repositioning decisions to make transport networks cleaner and efficient
Bakis uses advanced techniques of time-series forecasting to predict the important variables of shipping networks, in particular by integrating external data in a user friendly way. The predictive outputs (such as future demand for containers across the network) are fed into a flexible and powerful optimisation engine with the objective of generating optimal container allocation, route and traffic decisions. Such decision model is highly customisable and can maximise different variables such as profit but also energy consumption or CO2 emissions giving shipping company the possibility of controlling such metrics. The Bakis solution differentiates to existing logistic optimizers thanks to its unique predictive component and its efficient computational architecture. The economic value added of Bakis counts in hundreds of millions if fully implemented in one of the top 5 shipping companies.