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Projects

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 .