analytics sabzi mandi
Post on 21-Oct-2014
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DESCRIPTION
A study on Road side vendors at coimbatore, india.TRANSCRIPT
CONSUMER BEHAVIOR CONSUMER BEHAVIOR @@
SABZI MANDISABZI MANDI
TEAM ANALYTICSTEAM ANALYTICS- SOURANGSHU SARKAR- RAHUL WADHWA- RAMYA S- SNEHA NIMKAR- BAIBHAV BAJPAI
Objectives…..
2
• To know buyers purchasing behavior
• To know buyer's preferences
• To know buyer's dislike
• To know buyer’s expectations
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
Road side vegetable market Vs super market
• price
• Freshness
• Flexible timing
• Stock
• Location
• experience / aroma
ROAD SIDE VEGETABLE SHOPVS SUPER MARKETS
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
Data sets
0
1
2
3
4
5
6
7
home maker w orking
every day
thrice
tw ice
w eekly
Drop Page Fields Here
Count of frequency of consumption
occupation
frequency of consumption
Occupation Vs Frequency of Consumption
Data sets
0
1
2
3
4
5
6
7
8
home maker working
Planned
Unplanned
Drop Page Fields Here
Count of planned/unplanned
occupation
planned/unplanned
Occupation Vs Planned/unplanned
Data sets
0
1
2
3
4
5
6
7
low middle
every day
thrice
twice
weekly
Drop Page Fields Here
Count of frequency of consumption
lifestyle
frequency of consumption
Lifestyle Vs Frequency of Consumption
Data sets
0
1
2
3
4
5
6
7
8
low middle
basic needs
most of them
Drop Page Fields Here
Count of want
lifestyle
want
Lifestyle Vs Want
Data sets
0
1
2
3
4
5
6
7
long short
every day
thrice
twice
weekly
Drop Page Fields Here
Count of frequency of consumption
distance
frequency of consumption
Distance Vs Frequency of Consumption
Data sets
0
1
2
3
4
5
6
7
8
9
long short
basic needs
most of them
Drop Page Fields Here
Count of want
distance
want
Distance Vs Want
Data sets
0
0.5
1
1.5
2
2.5
3
3.5
4
4.5
3 4 5 6 7
Fresh for long
immediate consumption
Drop Page Fields Here
Count of type of vegetables
family size
type of vegetables
Family Size Vs Type of Vegetables
Data sets
0
0.5
1
1.5
2
2.5
3
3.5
4
4.5
3 4 5 6 7
every day
thrice
twice
weekly
Drop Page Fields Here
Count of frequency of consumption
family size
frequency of consumption
Family Size Vs Frequency of Consumption
Prices & Distance
long
short
0
1
2
3
4
5
6
7
8
9
10
Important
Not Important
Drop Page Fields Here
Count of prices
distance
prices
Prices & Age
20+30+
40+50+
0
1
2
3
4
5
6
Important
Not Important
Drop Page Fields Here
Count of prices
age
prices
Prices & Lifestyle
low
middle
0
1
2
3
4
5
6
7
8
Important
Not Important
Drop Page Fields Here
Count of prices
lifestyle
prices
Prices & Occupation
home maker
working
0
1
2
3
4
5
6
7
Important
Not Important
Drop Page Fields Here
Count of prices
occupation
prices
Prices & Gender
F
M
0
1
2
3
4
5
6
7
Important
Not Important
Drop Page Fields Here
Count of prices
gender
prices
Prices & Consumption Frequency
every daytwice
thriceweekly
0
1
2
3
4
5
6
7
Important
Not Important
Drop Page Fields Here
Count of prices
frequency of consumption
prices
Prices & Family size
34
56
7
0
1
2
3
4
5
6
Important
Not Important
Drop Page Fields Here
Count of prices
family size
prices
Prices & Quality
doesn't matterfresh
like anywhereelse
0
1
2
3
4
5
6
7
8
Important
Not Important
Drop Page Fields Here
Count of prices
quality
prices
Prices & Vegetables bought
Fresh for long
immediate consumption
0
1
2
3
4
5
6
7
Important
Not Important
Drop Page Fields Here
Count of prices
type of vegetables
prices
Prices & Purchase type
Planned
Unplanned
0
1
2
3
4
5
6
7
Important
Not Important
Drop Page Fields Here
Count of prices
planned/unplanned
prices
Prices & Gender
F
M
0
1
2
3
4
5
6
7
Important
Not Important
Drop Page Fields Here
Count of prices
gender
prices
Prices & kind of Want
basic needs
most of them
0
1
2
3
4
5
6
7
8
9
Important
Not Important
Drop Page Fields Here
Count of prices
bought
prices
Prices & Region
A.PKerala
T.N
0
1
2
3
4
5
6
7
8
Important
Not Important
Drop Page Fields Here
Count of prices
region
prices
HYPOTHESIS
• H0 : µ0 > 15
• H1 : µ0 <= 15
• For 95 % confidence interval, α=0.05.• From the data
• = 30x̄�• S=3
• From calculations• t = 6.67• t α=2.131
(NULL HYP): Price influences buying behavior. (ALT HYP): Prices don’t influence buying behavior.
(Due to n =16 which is n < 30, we use t distribution.)
INFERENCEINFERENCE
• Conclusion:Reject null hypothesis if t < t α
Don’t reject null hypothesis if t > t α
• InferenceHere 6.67 > 2.131 => t > t α .So don’t reject null hypothesis H0 : µ0 > 15.=> Prices influence buying behavior at the Sabzi
Mandi.
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.
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.
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