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Therefore, Giga Korea Co., Ltd.'s total operating profit through numerical domain sal
es is expected to grow at an average annual rate of 160.2% from KRW 22 billion in

2022 to KRW 1.0138 trillion in 2026 , five years later .

Section 2 O2O Sales

1. Online shopping mall sales

Online shopping mall ( common mall , my mall , closed mall , sales ID mall, etc. ) op

eration sales were estimated based on the following assumptions . First , the sales of

8)
Giga Korea Co., Ltd.'s domestic online platform shopping mall within the next five ye
ars will be KRW 7.1407 trillion, compared to the sales of Coupang , the largest e-co
mmerce company in Korea, as of 2019 . Among these, we assume that the sales of
9)
small business owners are approximately half, or 4 trillion won .

Here , the yearly online sales growth rate was calculated by applying the yearly dom
estic and overseas numerical domain sales growth rate of 107.0% and 268.0% .

Additionally , it is assumed that the sales proportions of open common mall , open m

y mall , closed common mall , closed my mall , and sales ID mall are 25%, 25%, 20%,
20%, and 10%, respectively .

In addition, the proportion of Giga Korea Co., Ltd.'s domestic sales comes from the
10)
R&D planning support project of the Ministry of SMEs and Startups, including an arti
ficial intelligence deep learning-based digital dentistry platform and an artificial intelli

gence-based 3D printing artificial tooth smart system. Based on information on esti

mated domestic and overseas market sales for 5 years after product development,

83.3%, 50.0%, 40.0%, 36.4%, and 33.3% are assumed by year .
At this time , online sales can be estimated as follows .

8) Financial Supervisory Service , Electronic Disclosure System , http://dart.fss.or.kr.
9) Coupang , 2020 (December 27, 2019), Coupang Small Business Report : Small but strong companies that are overcoming adversity with Cou
pang .
10) Korea Institute of Science and Technology Information (2020.9.19.), “Development of digital dentistry platform based on artificial intelligenc QR
e deep learning ” , p. 59 . Korean Science
Institute of Technology and Information (2020.9.19.), “Artificial Intelligence-based 3D Printing Artificial Difference Smart System Developm
ent” , p. 41 .
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