Assigning stores for buy-online-and-pick-up-in-store fulfilment in omnichannel grocery retail

Aydin Teymourifar, Maria Alice Trindade, Rui Sousa

Research output: Contribution to conferencePaperpeer-review

Abstract

This study develops a method to assist retailers in determining the stores to be made available for Buy-Online-and-Pick-up-in-Store, with the goal of maximizing profitability. The method integrates a simulation model with a metaheuristic algorithm and neural networks. The simulation model imitates customers' channel choice behaviour and provides a training set for the neural network. The inputs of the solution method are locational features of customers and stores, fees, and the socio-economic characteristics of the customers; the outputs are the retailer's demands, costs, revenue, and profit. The model can provide managerial recommendations to improve the retailer's profit.
Original languageEnglish
Number of pages10
Publication statusSubmitted - Jul 2023
Event30th EurOMA Conference - Leuven, Belgium
Duration: 1 Jul 20236 Jul 2023

Conference

Conference30th EurOMA Conference
Country/TerritoryBelgium
CityLeuven
Period1/07/236/07/23

Keywords

  • Omnichannel retailing
  • Customer behaviour
  • Simulation-based optimization

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