2. Objectives…..
• To know buyers
purchasing behavior
• To know buyer's
preferences
• To know buyer's
dislike
• To know buyer’s
expectations
2
3. Relevance with companies
• How to attract middle
class customers
• How to know what they
want
• How to fulfill buyers
expectations
• What extra experiences
can be added to retain
them
3
4. ROAD SIDE VEGETABLE SHOP
VS SUPER MARKETS
Road side vegetable market Vs super market
• price
• Freshness
• Flexible timing
• Stock
• Location
• experience / aroma
5. Why SabjiMandi ?
Poor people for price
Middle class people for price as well as freshness
Upper middle and Upper class people for
freshness and quality
Distance and place is common reason
6. Data sets
Drop Page Fields Here
Occupation Vs Frequency of Consumption
Count of frequency of consumption
7
6
5
frequency of consumption
4
every day
thrice
3 tw ice
w eekly
2
1
0
home maker w orking
occupation
7. Data sets
Occupation Vs Fields Here
Drop Page Planned/unplanned
Count of planned/unplanned
8
7
6
5
planned/unplanned
4 Planned
Unplanned
3
2
1
0
home maker working
occupation
8. Data sets
Drop Page Fields Here
Lifestyle Vs Frequency of Consumption
Count of frequency of consumption
7
6
5
frequency of consumption
4
every day
thrice
3 twice
weekly
2
1
0
low middle
lifestyle
9. Data sets
Drop Page Fields Here
Lifestyle Vs Want
Count of want
8
7
6
5
want
4 basic needs
most of them
3
2
1
0
low middle
lifestyle
10. Data sets
Drop Page Fields Here
Distance Vs Frequency of Consumption
Count of frequency of consumption
7
6
5
frequency of consumption
4
every day
thrice
3 twice
weekly
2
1
0
long short
distance
11. Data sets
Drop Page Fields Here
Distance Vs Want
Count of want
9
8
7
6
5 want
basic needs
4 most of them
3
2
1
0
long short
distance
12. Data sets
Drop Page Fields Here
Family Size Vs Type of Vegetables
Count of type of vegetables
4.5
4
3.5
3
2.5 type of vegetables
Fresh for long
2 immediate consumption
1.5
1
0.5
0
3 4 5 6 7
family size
13. Data sets
Family Size Vs Page Fieldsof Consumption
Drop Frequency Here
Count of frequency of consumption
4.5
4
3.5
3
frequency of consumption
2.5
every day
thrice
2 twice
weekly
1.5
1
0.5
0
3 4 5 6 7
family size
14. Prices & Distance
Drop Page Fields Here
Count of prices
10
9
8
7
6
5
prices
4
Important
3
Not Important
2
1
0
long
short
distance
15. Prices & Age
Drop Page Fields Here
Count of prices
6
5
4
3 prices
Important
Not Important
2
1
0
20+
30+
40+
50+
age
16. Prices & Lifestyle
Drop Page Fields Here
Count of prices
8
7
6
5
4
prices
3 Important
Not Important
2
1
0
low
middle
lifestyle
17. Prices & Occupation
Drop Page Fields Here
Count of prices
7
6
5
4
prices
3 Important
Not Important
2
1
0
home maker
working
occupation
18. Prices & Gender
Drop Page Fields Here
Count of prices
7
6
5
4
3 prices
Important
2 Not Important
1
0
F
M
gender
19. Prices & Consumption Frequency
Drop Page Fields Here
Count of prices
7
6
5
4
3 prices
Important
2 Not Important
1
0
every day
twice
thrice
weekly
frequency of consumption
20. Prices & Family size
Drop Page Fields Here
Count of prices
6
5
4
3
prices
Important
2
Not Important
1
0
3
4
5
6
7
family size
21. Prices & Quality
Drop Page Fields Here
Count of prices
8
7
6
5
4
prices
3
Important
Not Important
2
1
0
doesn't matter
fresh
like anywhere
else
quality
22. Prices & Vegetables bought
Drop Page Fields Here
Count of prices
7
6
5
4
prices
3 Important
Not Important
2
1
0
Fresh for long
immediate consumption
type of vegetables
23. Prices & Purchase type
Drop Page Fields Here
Count of prices
7
6
5
4
prices
3 Important
Not Important
2
1
0
Planned
Unplanned
planned/unplanned
24. Prices & Gender
Drop Page Fields Here
Count of prices
7
6
5
4
prices
3 Important
Not Important
2
1
0
F
M
gender
25. Prices & kind of Want
Drop Page Fields Here
Count of prices
9
8
7
6
5
prices
4
Important
3 Not Important
2
1
0
basic needs
most of them
bought
26. Prices & Region
Drop Page Fields Here
Count of prices
8
7
6
5
4
prices
Important
3
Not Important
2
1
0
A.P
Kerala
T.N
region
27. HYPOTHESIS
• H0 : µ0 > 15 (NULL HYP): Price influences buying behavior.
• H1 : µ0 <= 15 (ALT HYP): Prices don’t influence buying behavior.
• For 95 % confidence interval, α=0.05.
• From the data
• x̄ = 30
• S=3
• From calculations (Due to n =16 which is n < 30, we use t
• t = 6.67 distribution.)
• t α=2.131
28. INFERENCE
• Conclusion:
Reject null hypothesis if t < t α
Don’t reject null hypothesis if t > t α
• Inference
Here 6.67 > 2.131 => t > t α .
So don’t reject null hypothesis H0 : µ0 > 15.
=> Prices influence buying behavior at the Sabzi
Mandi.
29. Suggestions for the market
• Giving land on rent to the sellers.
• Providing a hygienic place for the consumers.
• Providing a common place for all the groups
consumers.
• Awareness of the market.
30. Business Model
Organized retailer can make contract with village
vegetable marketer so that they would able to attract
all middle class consumer who do other shopping there.
31. Business growth advice
• Targeting institutions /
small hotels for vegetable
supply – As the vegetable
market is weekly basis,
the shop owners can
target nearby institutions
or hotels etc for fresh
vegetable supply at a
lower price than retail
market