Mosaic Factor’s higher priority in Logistics is sharing key data across different Supply Chain players to optimise performance while managing sustainability by mitigating the impact of these operations.
Our machine learning and complex algorithms help finding new opportunities based on the prediction of potential demand for limited resources and infrastructure.
TYPICAL USE CASES WE TACKLE FOR LOGISTICS ARE:
DEMAND FORECASTING
Insight into vessel traffic patterns can increase the ability to allocate berths efficiently, resulting in reducing waiting times and increasing cargo handling capacity.
Monitoring the condition of equipment and infrastructure in real-time and analysing historical maintenance data to predict when and where maintenance is needed.
PREDICTIVE MAINTENANCE
CARGO HANDLING
Data analytics to optimise productivity by reducing bottlenecks, streamlining operations, reducing handling times, and increasing operational efficiency.
Identify patterns and anomalies that may indicate security threats.
SECURITY & ACCESS CONTROL
ENVIRONMENTAL MONITORING AND SUSTAINABILITY
Comply with regulations while contributing to the global effort to increase sustainability of operations.
Streamline the supply chain, reducing delays, and improving reliability for shippers.
SUPPLY CHAIN COORDINATION
DISASTER PREPAREDNESS AND RESPONSE
Models to ensure preparedness and response to accidents, minimising disruptions, protecting assets, and ensuring a quicker recovery after disasters.
Explainable AI solutions to visualise how the algorithms work and provide transparency and safety in the use of AI models.
TRUSTWORTHY AI
Our clients
Our partners
