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The growing use of big data and analytics is creating opportunities for strategic business change and innovation. Through machine learning and advanced data science, we capitalize the value of big data to help businesses predict data-driven insights and unlock the full potential of their supply chains. 

Below are some of our key projects and initiatives:

Project and Initiatives Data Science Research IT Application

Airfreight delay event prediction


Rapid benchmarking of freight rates


Inventory analytics and optimization


Multi-echelon supply chain network design


Supply chain carbon footprint calculation


Impact of economic shocks on trade lanes and supplier ecosystem


Sales pipeline success prediction


projects Showcase


GONG, ZIAN. MITB Analytics Intenship

Demand Prediction - Contruct time series using weekly volume to predict demand for frequenly needed parts for trucks.
Volumn Prediction - Predict demand on product lines using multiple linear regression.


MINAMI YUSUKE. MITB Analytics Intenship

Develop a predictive model that can calculate the probability of winning for each sales opportunity pipeline based on the result history data. 

Last updated on 24 Sep 2018 .