Cross learning: Combining Machine Learning/Data Science and statistical modelling to improve retail forecasting

This project aims to enable me, through training courses and research meetings, to carry out research on how best to achieve cross learning between statistical forecasting and machine learning techniques, a mostly unexplored area, to improve performance of retail forecasting. This has wide ranging impact on retailers to allow them to make better planning decisions and capture business intelligence from vast amounts of data, to thrive in an increasingly competitive environment. This also has a societal impact to ensure retailers are operating in a cost-effective and sustainable way.

The training courses offered by the University of Oxford will allow me to gain comprehensive understanding of machine learning and develop me as a research leader. The workshop and two-day mini-conference will promote collaboration between academia and practitioners towards finding the best way to achieve cross learning.