Version 1
: Received: 31 October 2023 / Approved: 1 November 2023 / Online: 1 November 2023 (13:08:51 CET)
How to cite:
Suryawijaya, T. PARTIKA: Integration of Augmented Reality in Increasing Sales of Indonesian Fabrics. Preprints2023, 2023110048. https://doi.org/10.20944/preprints202311.0048.v1
Suryawijaya, T. PARTIKA: Integration of Augmented Reality in Increasing Sales of Indonesian Fabrics. Preprints 2023, 2023110048. https://doi.org/10.20944/preprints202311.0048.v1
Suryawijaya, T. PARTIKA: Integration of Augmented Reality in Increasing Sales of Indonesian Fabrics. Preprints2023, 2023110048. https://doi.org/10.20944/preprints202311.0048.v1
APA Style
Suryawijaya, T. (2023). PARTIKA: Integration of Augmented Reality in Increasing Sales of Indonesian Fabrics. Preprints. https://doi.org/10.20944/preprints202311.0048.v1
Chicago/Turabian Style
Suryawijaya, T. 2023 "PARTIKA: Integration of Augmented Reality in Increasing Sales of Indonesian Fabrics" Preprints. https://doi.org/10.20944/preprints202311.0048.v1
Abstract
The post-pandemic has forced it Indonesian cloth sellers in Indonesia are facing changes in consumer behavior who tend to shop online. They need to find innovative ways to market products and reach potential customers. One of the problems faced is how to present traditional fabrics effectively to potential buyers. Therefore, a more creative and interactive marketing approach is needed. Using the needs analysis method to design innovative augmented reality (AR) integration in the sale of Indonesian fabrics could be an interesting solution. With AR, which will later be called PARTIKA, sellers can show potential buyers how the fabric looks in various situations, provide virtual interaction with the product, and provide detailed information. This application can thus provide a more in-depth and convincing experience, helping customers make better purchasing decisions.
Keywords
Sales; Indonesian Fabrics; Augmented Reality
Subject
Arts and Humanities, Art
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.