Journal of information and communication convergence engineering

The Korea Institute of Information and Commucation Engineering (한국정보통신학회)
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Improvement of the Parallel Importation Logistics Process Using Big Data

  • Park, Doo-Jin (Department of Port Logistics System, Tongmyong University) ;
  • Kim, Woo-Sun (Division of Port & Logistics Research, Korea Maritime Institute)
  • Received : 2019.11.20
  • Accepted : 2019.12.26
  • Published : 2019.12.31
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Abstract

South Korea has allowed parallel importation since 1995. Parallel importation causes competition among importers in the logistics process allowing, consumers to purchase foreign brand products at low prices. Most parallel importers base product pricing on subjective judgements. Fashion products in particular, have different sales rates depending on trends and seasons, so sales performance varies greatly depending on selling price timing and policy. The merchandiser (MD) set the price on parallel importation products by aggregating information on imported products and pricing goods. However, this customized process is very time consuming for the MD. This is because the logistics process of parallel importation's customs clearance procedures and repair works is complicated and takes a significant amount of time. In this paper, we propose an improved parallel importation logistics process based on big data, which automatically sets the price of parallel importation products.

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References

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