Implementation of Web Scraping in Inventory Management System for Drop-Shipping


Authors : Lutfi Pratama Yogaswara; Yan Puspitarani

Volume/Issue : Volume 7 - 2022, Issue 8 - August

Google Scholar : https://bit.ly/3IIfn9N

Scribd : https://bit.ly/3BxDkjJ

DOI : https://doi.org/10.5281/zenodo.7073437

The drop-shipping is a simplified business model in order fulfilment, which allows retailers to sell products without keeping any physical inventory. The product order is sent to supplier, who ships the order directly to the customers. Therefore, currently, around 27% of online retailers are starting to turn to the dropshipping business model as a method of fulfilling orders from customers. But despite its advantages, the dropshipping business model still has disadvantages, such as inventory problems. This paper proposes an approach to solve the inventory problem in drop-shopping by using web scraper. The web scraper extracts product information from supplier website and stores it in the database. For managing the extracted product information and upload it to the marketplace, we propose an Inventory Management System, implemented as a web-based application. However, users can save time doing drop-shipping without extracting product information by visiting each product page, managing product stock, and uploading to the marketplace manually.

Keywords : drop-shipping, web scraper, marketplace.

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Paper Submission Last Date
28 - February - 2023

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