ANALYSIS OF IT ENABLED WEBSHOPS & SUPPLY CHAIN EXECUTION Analysing the basic purchasing behaviour of consumers who go for online shopping study of parameters that are important in building an efficient web shop study of various factors that make customer loyal to a web shop Study of major problems that are faced during online shopping and developing recommendations after analyusing overall scenario

1. IT ENABLED WEBSHOPS & SUPPLY CHAIN
EXECUTION
Presented by
R.Manohara Krishna Ganti
ID: 1778
PGDM-Marketing
ITM Business School
Under the guidance of
Prof. Ankush Guha

2. Contents
Introduction
Research objectives
Research methodology
Data collection
Data analysis & Interpretation
Major findings
Recommendations

3. INTRODUCTION
• India's e-commerce market was worth about $2.5 billion in
2009, it went up to $6.3 billion in 2011 and to $14 billion in
2014
• About 75% of this is travel related (airline tickets, railway
tickets, hotel bookings, online mobile recharge etc.).
• Online Retailing comprises about 12.5% ($300 Million[6] as of
2009).
• India has close to 10 million online shoppers .
• The market is estimated at 30% CAGR vis-à-vis a global
growth rate of 8–10%.

4. RESEARCH OBJECTIVES
• Analysing the basic purchasing behaviour of consumers who
go for online shopping
• study of parameters that are important in building an
efficient web shop
• study of various factors that make customer loyal to a
web shop
• Study of major problems that are faced during online
shopping

5. RESEARCH METHODOLOGY
The basic methodology used is of descriptive statistics
In quantitative analysis the basic methodology used is of descriptive
stastics where information is collected through questionnaires from
the respondents through online survey Google forms
Done qualitative analysis secondary research by procuring
information from key journals like CSCMP and e-commerce journals,
articles etc. for effective supply chain execution

6. RESEARCH DESIGN
• Research design
• Descriptive research designs help provide answers to the
questions of who, what, when, where, and how associated
with a particular research problem; Descriptive research is
used to obtain information concerning the current status of
the phenomena and to describe "what exists" with respect to
variables or conditions in a situation.
• The sampling method used is convenient sampling method
• Sample size is 111 respondents
• The target audience were mainly young working professionals
& youth.

7. • This is research is of applied research where I used Stastical
tool which is IBM SPSS Version 20.0 and developed different
models
• Used mainly advanced techniques in SPSS
• They are 1) cluster analysis
• 2) Multi Dimensional scaling technique
• Rationale behind using this tests
• My research which is empirical study collected data
produced refined insights primarily for segmenting the
people behavioral patterns and there by targeting them on
that particular attributes for successful running of an IT
enabled web shop

8. •DATA ANALYSIS AND
INTERPRETATION

9. STUDY OF THE PREFERENCES FOR THE VARIOUS
FACTORS INVOLVED IN TENDENCY TO GO FOR
ONLINE SHOPPING
• The factors that are taken into consideration are
• Convenience
• price concern
• offers
• Time saving
• These factors are taken into likert scale and are rated on
1-5 scale based on relative importance rated by all
respondents

10. MODEL & INTERPRETATION

11. CLUSTER DISTRIBUTION

13. GOODS & OR SERVICES PREFERENCE
DURING ONLINE SHOPPING
• T a r g e t e d p r o d ucts & or services are 1) Electronic Items
• 2)clothes
• 3)books
• 4)Travel
• 5)Entertainment
• These are rated on likert scale on 1-5 scale depending on
their preference to choose the products & or services online
by the respondents

14. MULTIDIMENSIONAL SCALING TECHNIQUE

15. • So finally we can conclude that Entertainment , books , travel
are most lucrative options to start as webshop business as
rated by respondents

16. CONSUMER PURCHASING PREFERENCE OF PRODUCTS
IN VARIOUS WEBSHOPS
FLIPKART EBAY
SNAP DEAL JABONG

17. FREQUENCY OF PURCHASING PREFERENCE FOR
FOLLOWING WEBSHOPS
• Online web shops taken in this research part are
• FlipKart , EBay, Snap Deal, Jabong
• So finally here is order of frequency of buying in the
following web shops as rated by respondents
• 1)Flipkart
• 2)Ebay
• 3)Jabong
• 4)Snapdeal

18. STUDY OF THE PARAMETERS THAT ARE MAIN
CONCERNED FOR BUILDING AN “EFFICIENT WEBSHOP”
• Parameters taken were
 Content
 Design
 Graphics
 SEO
 Payment security
 Mobile friendly website
 Mobile app for that website

19. MDS Model for
Interpretation

20. STUDY OF THE FACTORS THAT MAKE A CUSTOMER
LOYAL TO A WEBSHOP
• They are 1) Price of the product
• 2) Quality of he product
• 3) Fast deliver of the product
• 4) Offers
• These are all variables were taken as part of research and oare
rated on 1-5 sclale by all the respondents
• Then these ratings are interpreted though cluster analysis
technique for segmentation and finding out crucial factors
• To be targeted

22. CLUSTER DISTRIBUTION

23. PREDICTOR IMPORTANCE

24. STUDY OF MAJOR PROBLEMS THAT ARE FACED
DURING ONLINE SHOPPING
• The factors that are considered mainly are
• Touch & Feel factors
• Shipment or delivery of the product
• Online transaction payment security
• Content reliability
• These parameters are all taken into likert scale rated on 1-5
scale based on relative importance the responses of them are
recorded and now conducted by cluster analysis technique

25. APPLICATION OF CLUSTER ANALYSIS TECHNIQUE
(TWO-STEP CLUSTER)

26. Cluster size distribution

27. PREDICTOR IMPORTANCE

28. RECOMMENDATIONS
• Factors mainly to be concentrated are price concerned, offers
and time saving .so in order to shift customers focus towards
online shopping one has to maintain reasonable prices looking
more into volume based pricing strategy by recovering profits
in terms of volume and also providing offers like free shipping
depending upon the purchases made by the customer
• Recommendations for products to be considered in building
into webshop
• As majorly the target segment are youth it is better to go for
entertainment , and travel sector also into the e books
• Third-party logistics providers (3PLs) are participating in the
disruptive innovation of a whole category: the one-stop shop
• For efficient supply chain execution

29. CONCLUSION
• Finally I conclude that innovation in business models
investing highly in technology and efficient usage of third
party logistics for fast delivery providing ultimate customer
experience maintaining effective content with good amount
of SEO in web shop and providing good quality of products
with effective offers ultimately drives the commercial
success of a web shop

30. Key Learnings
Improvement in problem identification and analyzing skills
 Learned to capture value from the data
 Dealing with uncertainty while making key decisions.
Time management .

31. THANK YOU