Boosting E-commerce Sales: Data-Driven Strategies for Profitability

ICT 706

Executive Summary
The platform which allows organizations to do trading of their products through an online portal
is called e-commerce or electronic commerce. E-commerce offers so many services like selling
products, online reservations, transactions and so much more.
The main target of this assignment is to cover all the information that is related to e-commerce
and to analyse the methodology used in this assignment.
SWOT is the most effective way to make strategic plans for the profit for the organization. It
could be done by SWOT examination process, all the information regarding the profit domains
could be gathered by process.
The miles have an insight building which is known as shopper driver that is very beneficial. This
is useful in increasing the association execution. For your business endeavour, Improvement in
the site design and the substance should be facilitated.
The main aim of organization should be that they advertise their product in such a way that the
customer finds it easy and simple and they think that they actually need it. The costs of delivery
should not be as high or after a certain amount, it should be free of cost which lures the
customers to get to that amount.
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Contents
Executive Summary.........................................................................................................................1
Background......................................................................................................................................3
Introduction......................................................................................................................................5
Research Methodology....................................................................................................................6
Descriptive Research....................................................................................................................6
Fundaments available...................................................................................................................6
Quantitative or Qualitative...........................................................................................................6
Conceptual or Empirical..............................................................................................................7
Analytical Findings:.........................................................................................................................8
Dataset..........................................................................................................................................8
Data Mining.................................................................................................................................9
Divisive method:........................................................................................................................11
Agglomerative method:..............................................................................................................11
Recommendation for the Company:..............................................................................................14
Implementation plan:.....................................................................................................................15
Python Codes with Screenshots.....................................................................................................16
Conclusion:....................................................................................................................................20
References......................................................................................................................................21
Appendex.......................................................................................................................................22
Working Python Codes..............................................................................................................22
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List of Figures:
Figure 1: Sales Dataset....................................................................................................................9
Figure 2: Training Graph over Sales Data.....................................................................................10
Figure 3: Test Graph over Sales Data............................................................................................10
Figure 4: Output Prediction...........................................................................................................12
Figure 5: Product to be prioritized.................................................................................................12
Figure 6: Linear Regression Graph on Sales................................................................................16
Figure 7: Final Prediction Graph...................................................................................................16
Figure 8: Code for test and train....................................................................................................18
Figure 9: Main Module..................................................................................................................19
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Background
It was long time ago when this organization was set up. The time when no one ever heard of this
organization before as it was new and had just started and as a newbie, they could only reach to a
very fewer region near them and that too with very fewer products. As the time passed this
organization started to get recognition and started to reach regions a bit far thus they started to
expand their business as wide as possible with more products in their hand and this was the time
when it was growing every day.
Their products varied from toys, gadgets, books to so much more and they also delivered all
these products to the doorsteps of their customers and with so many other factors they became
one of the top organizations of that time. Then there came the time when this organization too
had to go through bad graphs of sales and this was the time when they needed to work on
improving their strategic goals and it was all made possible when they used Data Analytics
which actually made me regain their position in the market thus they were once again leading the
market. Data Analytics gave them an exact graph of which regions were the one where the sales
graph was going downhill and where the organization needed to improve also from which region
there was the highest profit which helped them make their way to top.
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Introduction
The current situation is like this that every organization wants to go e-commerce. So many
organizations are competing with each other to provide the best e-commerce experience. A
report will be made in this assignment which will focus on improving the profitability
of organization. To calculate the monthly sales of book is the main aim of organization.
Complete sales of products in the last month is recorded in report.
The aim of this assignment report is to focus on the techniques that will help the
organization increase its sales. The Technique widely used is Python programming language.
Techniques for producing the result are also present in the report (Turban et al., 2017).
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