How IoT Drives Growth in Smart Enterprises: Industry Analysis

This essay examines the transformative impact of the Internet of Things (IoT) on modern industries, focusing on the rise of smart enterprises. Smart enterprises, characterized by the integration of smart management, knowledge management IT platforms, diverse data sources, and real business processes, are explored in detail. The essay presents two key aspects of smart enterprises: smart manufacturing, exemplified by Airbus and Siemens, and smart customer service, demonstrated by Amazon and Walmart. Airbus leverages IoT to enhance manufacturing efficiency, while Siemens employs AI-powered IoT for optimized production. Amazon pioneered customer reviews and personalized recommendations, and Walmart introduced innovative mobile applications to improve the shopping experience. The essay concludes that IoT implementation enhances revenue, customer service, and the overall working environment, making it a crucial component of modern business models. Desklib provides access to this and other solved assignments.

Running head: SMART ENTERPRISE
SMART ENTERPRISE
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Introduction
This essay aims to discuss the impact of IoT on the industries. A brief explanation of
smart enterprise is provided. A brief discussion of two different aspects of two different
companies are provided in this essay. Lastly, this report concludes with an appropriate
conclusion for this essay.
The IoT has impacted the modern era at a significant level. It has provided
opportunities for the growth of several sectors. Among one of these sectors, the industrial
sector has gained immense growth with the introduction of IoT in their systems. The growth
of smart enterprises has been on the rise in the industrial sector (Wahi, Medury & Misra
2015, p.5).
Discussion
Smart enterprises are the combination of smart management, knowledge management
IT platform, Multiple data sources, and Real business processes (Townsend et al. 2016, p.
31). The functioning of smart enterprise can be understood as:
 The data from all the sensors are measured by KMIT and it executes the import of
data from several databases.
 The processing of raw data, calculation of all indicators and models of
sales/production/business/distribution, evaluation of results and the status of business
objects (merchandises, clienteles, providers, machineries, economics, public,
environment, value, enterprise as whole) is executed by the KMIT (Key Management
IT platform).
 The results of smart management are sent to the common mobile devices by KMIT
after complete verification of the requirement of information.
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Aspect of smart enterprises
Smart manufacturing aspects
The term “Smart” denotes to the enterprises that use and create information and data during
the course of the life cycle of product with an intention of creating flexible processes of
manufacturing that is aimed to respond efficiently to the changes in the demand of the
customers at the lowest cost without damaging the environment (Kusiak 2013, p. 23). The
aspect of smart manufacturing allows all information about all the processes of
manufacturing that are to be made accessible whenever required. The detailed definition of
smart manufacturing ensures several different technologies. Some major technologies in the
aspect of smart manufacturing movement includes capabilities of big data processing,
services and devices connectivity at industrial level, and developed robotics (Ivezic,
Kulvatunyou & Srinivasan 2014, p. 26).
Airbus
The aspect of smart manufacturing is the broad category of producing with the intention of
optimising concept of generation, manufacture, and product business. As manufacturing is
the multi-phase process of generating products from raw materials, this aspect of smart
enterprises is the subset that empowers computer control as well as higher level of
adaptability . The companies who implemented the process of smart manufacturing has the
goal of taking advantage of manufacturing technologies and advanced information for
enabling flexibility in the physical processes for addressing some dynamic and global market
(Weichhart et al. 2016, p. 36).
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The French airplane company Airbus has been gaining growth by harnessing IoT (Internet of
Things) to increase their revenue and generate more profit. The company claims to have
manufacturing facilities all over the world and most of the facilities have implemented the
IoT to generate more profit (Lee & Lee 2015, p. 335). This new technology has helped in
collecting information from the sensors that are located in all the factories. The company first
used the technology of RFID in the tracking parts and now the company is aiming to utilise
the IoT tools to track the tools residing in a factory (Mehdi et al. 2013, p. 30). The cycle time
of an aircraft stretches over 30 years and if the company is progressing towards the
implementation of automation intelligence then it will need to utilise these tools for the entire
lifetime of an airplane. The business strategy of airbus is divided into three categories:
 ERP (Enterprise Resource Planning)
 Engineering and manufacturing processes
 Shop floor
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The company views the idea of digital factory as the method of increasing the production
capacity and the economic conditions as a production building and developing aircraft
throughout the complete production line lifecycles.
Siemens
The company Siemens with its headquarters located in Munich and Berlin is the global
powerhouse of electronics and electrical engineering. According to a recent survey, it is
estimated that the company possesses 377,000 employees that are working for developing
and manufacturing products, designing, and installing complicated systems and projects, and
create a wide range of services specified for some individual requirements (Alzate & Sinn
2013, p. 944).
The company implemented the smart manufacturing system to exercise the flexibility and
holistically allow the human workforce, robot assistants, and manufacturing systems for
optimising swift flow of energy and materials with the help of artificial intelligence-powered
self-organising IoT (Jaramillo et al. 2013, p. 5). With the help of advances in the fields of
simulation and algorithms, most of the products of the company are created in “digital twins”,
which means the products are made as duplicates of their counterparts in real world. With the
evolvement of this process, this method can be used for more than creation of geometric
characteristics of an object. This method is unique for the functional characteristics it
possesses, which are heat resistance, contraction and expansion coefficients, and security
optimisation, that are being refined and tested in the simulated world. The company gained
the ability of automation flexibility. The flow of energy and materials will be optimised and
production in the facilities will increase with the implementation of AI in the business
processes of the company. For example, the AI driven Siemens gas turbine has been
successful in mitigating the nitrous oxide emissions of the turbine with the help of AI. It is
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believed that the new generation of smart manufacturing will create opportunities for
affordable, specific produced parts and supplies that are built with keeping the demands of
the customers in mind and meet the requirements of scheduling (Veza, Mladineo & Gjeldum
2015, p. 555).
Smart customer service
The smart services term is referred as the developed level of digital service offerings that are
based on data. These services are provided to the customers who utilise these smart products.
The smart services idea was originally developed in the public research projects framework
(Nie 2013, p. 1576). With the utilisation of broadband connection, machines can authorise the
movement of data to a specific software platform provided by the provider of smart service.
Machine knowledge is produced by aggregation on the platform and the networking of
several data is carried out with the help of various techniques like machine learning and
artificial intelligence (Kumar & Dahiya 2017, p. 4).
Amazon
The company Amazon was the first company to display the customer reviews, which helped
in creating transparency in the website (Todorović, Čudanov & Komazec 2015, p. 300).
Earlier, customers had no idea about the quality of the product that they are trying to
purchase. With the introduction of customer reviews, it is easier for the customers to have a
basic idea about the products that are available on the e-retail platform. The consumers had to
take a significant extent of risk before purchasing an item. Another feature of Amazon that
helps the customers hugely, is the feature of real-time recommendation. This feature provides
an idea about the various kinds of products that are similar to product that the customer is
buying. In this case, the customer is connected to several suppliers at the same time. The
options of buying are increased for the customers. The company has also developed the
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personalised recommendations for the customers on the basis of the purchasing habits of the
consumers and the behaviours of browsing of the consumers. Another feature that is
implemented in the e-retail website of the Amazon company, is the feature of streamlined
checkout (Zhou et al. 2016, p. 147). This feature diminishes the burden of the user to provide
their shipping address and billing address each time they purchase an item. The AI
implemented in the website automatically provides these addresses from analysing the
previous billing address and shipping address.
Walmart
The company recently launched several new applications for iPhone and iPad users (Gu et al.
2013, p. 4484). These applications are designed to provide tools to the users for planning
their weekly trips of shopping and innovative ways for accessing Walmart in both online and
in-store platforms. It is believed that the new features of Walmart will provide the customers
with a seamless, enhanced experience of shopping across the stores. The application of
iPhone features new updates that includes smart shopping lists that are integrated with access
to the coupons of manufacturers and QR code is implemented for scanning (Oliveira et al.
2015, p. 6082). The application of iPad allows the customers to search, browse, and buy the
items that are suitable for the customers. The new app on iPad of Walmart has these features:
 Shopping using touch-optimised technology
 Search the store
 Extended inventory
The new app that is available for the iPhone users has these features:
 Voice
 Budgeting tools
 Coupons of manufacturers
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 Information of products
 Sharing
 Beta store item finder
The company has the goal of reaching every customer and provide uninterrupted services to
the customers for creating better shopping experiences.
Conclusion
Therefore, it can be concluded that the implementation of IoT in the business models
of the companies helps in increasing revenue, provide better services to the customers, and
create better environment for working. The IoT has impacted the modern era at a significant
level. It has provided opportunities for the growth of several sectors. Smart enterprises are the
combination of smart management, knowledge management IT platform, Multiple data
sources, and Real business processes. The aspect of smart manufacturing is the broad
category of producing with the intention of optimising concept of generation, manufacture,
and product business. The company implemented the smart manufacturing system to exercise
the flexibility and holistically allow the human workforce, robot assistants, and
manufacturing systems for optimising swift flow of energy and materials with the help of
artificial intelligence-powered self-organising IoT. The company Amazon was the first
company to display the customer reviews, which helped in creating transparency in the
website. The company recently launched several new applications for iPhone and iPad users.
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These applications are designed to provide tools to the users for planning their weekly trips of
shopping.
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