Amazon final project

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SWOT Analysis of Amazon Company

Strength Weaknesses

The company has gained local and

international dominance.

The organization has obtained loyal

customers.

Amazon is ranked among the top enterprises

with the highest net worth since it is

approximated at around 125 million.

The organization has the best supply chain and

receive products at fair market prices.

Amazon has the highest number of workers

who strive to contribute to growth and

development.

Additionally, it has spread its dominance and

opened other amazon branches, which indicate

its growth rate.

The company is kept running by the creative

and innovative minds present, which

formulate new strategies that are significantly

beneficial (Hajizadeh, 2019).

The primary weakness amazon faces from

rival companies incorporating the same

functioning strategies.

The business structure, management process,

and model are easily assimilated by rival

companies, thus eradicating originality.

Government laws incorporate high taxes.

Some of the workers may strike due to the

poor working conditions experienced in the

company.

Some of the suppliers sell the most vital

information regarding amazon to the wrong

sources, thus placing it at high risk.

Some of the entities have violated the

consumer protection tag and might cause

significant losses in the health department

(Hajizadeh, 2019).

Opportunities Threats

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The organization has possible investors from

various parts of the continent.

Amazon can beat rival companies by

expanding their chain stores locally and

internationally.

Possible product diversification

They are incorporating technology into

Amazon. For instance, the Amazon-go

ideology.

Advertising and extending their search to the

most rural parts to access the other target

audience (Hajizadeh, 2019).

Hackers have emerged and managed to

illegally access the company’s database

messing with the client’s information.

Some misinformation cases have caused

several public criticisms that have distorted

their image (Hajizadeh, 2019).

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Reference

Hajizadeh, Y. (2019). Machine learning in oil and gas; a SWOT analysis approach. Journal of

Petroleum Science and Engineering, 176, 661-663.