Robot holding shopping cart with cardboard boxes

Doctoral project: Exploring AI driven operation for forecasting in data-light environments: The multishop concept

The advent of big data and AI brought new possibilities to businesses. In this research we investigate how we can leverage the power of AI for recommendation and forecast in data-light environments. This work is focused around the WM3 multishop platform that serves as an e-commerce platform for both business-to-business (B2B) and business-to-consumer (B2C) transactions. The incorporation of recommended systems, AI, and machine learning into WM3 platform aims to provide a better customer experience with the shop as well as more revenues for the stores. This research will consist of identifying the best AI and ML models that puts equal weight on consumer utility as well as company profitability in order to leads to the highest cumulative profit in the long run.

Project information

Doctoral student
Kailash Chowdary
Supervisor
Arianit Kurti
Assistant supervisors
Francis Palma, Ilir Jusufi
Participant organizations
Linnéuniversitetet, HL Design
Financiers
HL Design, KK-stiftelsen (Industriforskarskolan för Data Intensive Applications (DIA)
Timetable
January 2022 – January 2026
Subject
Computer and information science (Department of Computer Science and Media Technology, Faculty of Technology)
Linnaeus University Centre
Linnaeus University Centre for Data Intensive Sciences and Applications (DISA)

More about the project

This work is focused around the WM3 multishop platform that serves as an e-commerce platform for both business-to-business (B2B) and business-to-consumer (B2C) transactions. The incorporation of recommended systems, AI and machine learning into WM3 platform aims to provide a better customer experience with the shop as well as more revenues for the stores.  This research will consist of identifying the best AI and ML models that puts equal weight on consumer utility as well as company profitability in order to leads to the highest cumulative profit in the long run and offers them the following advantages:

  • More profitable marketing and product recommendations that are more precise and effective.
  • Reduced costs through automation.
  • Increased revenue through higher conversion rate.
  • Better understanding of the requirements of their target market.
  • Timely insights on existing market developments.
  • Improved product range.

The doctoral project is performed within Linnaeus University Centre for Data Intensive Sciences and Applications (DISA)