Morteza Saberi

Lecturer(Assistant Professor)

Personalized Assortment Optimization for Online Retailer Considering Risk of Customers Churning

  This talk can be interesting for who looks for application of data driven optimization techniques in retailing.
  Thursday, 02 January 2020
  13:30 - 14:15


This talk can be interesting for who looks for application of data driven optimization
techniques in retailing.
In this work, we consider an e-tailer with heterogeneous customers both on their
preference and loyalty. Customer attrition plagues e-tailer and they should find a way
to address this issue since it has been studied that attracting new customers is more
costly rather than keeping the current one. However keeping unhappy customers is
not an easy task and sometime approaching them make the situation worst. Thus an
implicit approach in saving the unhappy and at risk customer is chosen in this paper.
We proposed a heuristic personalized assortment planning model by reserving items
with low inventory levels or high demand for at risk customers who may have a
stronger preference for those items. The survival model has been used to predict at
risk customers and their lifetime. The output of the survival model has been used in
the proposed dynamic programming model for the personalized assortment planning.


Dr Morteza Saberi is currently a Lecturer (Assistant Professor) at the School of
Information, Systems and Modelling, UTS, Sydney. Prior to joining UTS, He was a
Lecturer at the UNSW, Business school and University of Tafresh’s Department of
Industrial Engineering. He has an outstanding research record and significant
capabilities in the area of business intelligence, data mining and applied machine
learning. He has published more than 180 papers in reputable academic journals
and conference proceedings such as Future Generation Computer Systems,
Knowledge-Based Systems, Computers & Industrial Engineering, Fuzzy Sets and systems, IEEE-ACCESS, Applied Soft Computing, Enterprise Information Systems,
Business Process Management Journal, Journal of Manufacturing Systems, Journal
of Loss Prevention in the Process Industries, Technological Forecasting and Social
Change, Process Safety and Environmental Protection, Neurocomputing, Safety
science, Quality & Quantity, Energy Policy, Applied Energy, Energy, AAA-I, WSDM &
IJCAI. He has won over 20 national and international research awards and
recognitions till date from his research. In 2019, he has been selected as the filed
leader of evolutionary computing in Australia. He received three competitive grants
from Australian academy of science, DAAD and Australian Department of Industry,
Innovation and Science. He was awarded the first Place Dissertation Competition
from Sixth International Conference on Industrial Engineering and Operations
Management (IEOM) as an output of his PhD. He visited two top research institutes
in Germany: the Department of Information Systems (under Professor Martin
Theobald), Max Planck Institute, Saarbrucken, Germany and Information Systems
Group (under Professor Felix Naumann), Hasso Plattner Institute, Germany.