The SMART Optimization proof of concept (POC) and contingency-fee model eliminates all risk. Our team will execute POC projects to identify, validate, and quantify the scale of the opportunity and test the impact of our solutions prior to contingency-fee implementation.
Over six years of detailed, complete, validated, and unbiased cargo logistics data formed from proprietary and public sources.
Tested machine learning models combine OceanSMART data with your data to identify and quantify waste.
We establish real-world, proven solutions and process changes derived from our team’s experience to address the identified waste.
Our team is actively engaged in the implementation of change management to ensure the realization of savings.
Eliminating Waste in the Cargo Value Chain
We work closely with you to correlate your and OceanSMART data, generating predictive models that highlight waste and build and implement the solutions to optimize operations.
Examples of areas of waste we target include:
Freight Rates and Commissions
Demurrage and Related Commissions
Ship Owner Performance
Voyage Routing and Performance
Port Cost and Agent Commissions
Port Time and Delays
Port Vendor Performance