About

Data Science for Retail and E-Commerce Workshop

May 9th, Cincinnati, Ohio, United States

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The Workshop

Retail is the sale of goods and services from a brick-and-mortar business to a consumer for their own use. E-commerce refers to the sale of goods and services via commercial transactions made electronically over the internet. Omnichannel retailing integrates both brick-and-mortar and e-commerce sales channels to provide consumers a flexible retail shopping experience. Global retail sales were US$18.84 trillion of which e-commerce sales accounted for US$ 2.86 trillion representing 15.2% web penetration. Similar to other industries, there has been a growing interest in leveraging data science and related techniques in retail and e-commerce (Retail E-com) to provide a more efficient, convenient and personalized shopping experiences to increase customer foot traffic and spend. With the democratization of machine learning and artificial intelligence, there is a great opportunity to bring awareness of Retail E-com to more experts in the SDM community and tackle problems which can have a wide impact in this multi trillion-dollar industry. There are plenty of opportunities to apply data science in the customer retail journey ranging from pre-interaction marketing, product search and recommendations and inventory management, to warehouse operations automation, delivery prediction and customer aftercare.

We expect our workshop will not only expose current researchers in SDM community to unexplored high impact problems in e-commerce, but also help grow the community by attracting researchers from the broader retail and e-commerce space.

Organizers

Faizan Javed

Home Depot

Mohammad Al Hasan

Department of Computer Science at Indiana University Purdue University Indianapolis

B. Aditya Prakash

Department of Computer Science at Virginia Tech

Parikshit Sondhi

Snap

Mohit Sharma

Google

Program Committee

  • Subhabhrata Mukherjee, Microsoft Research AI
  • Arushi Prakash, Zulily
  • Kashif Rasul, Zalando Research
  • Aliasgar Kutiyanawala, Walmart Labs
  • Wenjun Zhou, University of Tennessee
  • Han Xiao, Tencent AI
  • Rahul Bhagat, Amazon
  • Dinghan Shen, Duke University
  • Vikas Yadav, University of Arizona
  • Hugo Contreras-Palacios, Home Depot
  • Surya Kallumadi, Home Depot
  • Yixin Cai, Home Depot
  • Morgan White, Home Depot
  • Saurav Manchanda, University of Minnesota
  • Rida Moustafa, Walmart Labs
  • Vaclav Petricek, Amazon
  • Priya Govindan, Walmart Labs
  • Arushi Prakash, Zulily
  • ShubhraKanti Karmaker Santu, Massachusetts Institute of Technology
  • Dae Hoon Park, Yahoo Research
  • Pranam Kolari, Walmart Labs
  • Yi Fang, University of Santa Clara
  • Swayambhoo Jain, InterDigital Inc.