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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 enable businesses uncover and predict data-driven forward-looking insights and potential of their supply chains. 

Below are some of our key projects and initiatives:

Project Data Science Research IT Application
Freight rates and delivery time forecasting
 
Product demand and warehouse capacity prediction
 
Business Intelligence in eCommerce
   
Warehouse energy efficiency benchmarking    
Carbon reporting and transport-related carbon emissions reduction    
Responsible Business Practices  
 
Internet of Things – Technology and Applications  
Social Analytics and Applications    

projects Showcase

 

[IS434] SOCIAL MEDIA ANALYTICS
OF FASHION BRANDS

Sentiment analysis of social media engagement by selected prestige fashion brands, coupled with qualitative research how social media can be leveraged to improve digital strategies

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[IS102 CAT] Probability and Prediction of Freight Delivery Time

Prediction of freight delivery timeliness through probability modelling, buffer-level matrix, box-plot and business intelligence

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Last updated on 11 Sep 2017 .