analytics sabzi mandi

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CONSUMER BEHAVIOR CONSUMER BEHAVIOR @ @ SABZI MANDI SABZI MANDI TEAM ANALYTICS TEAM ANALYTICS - SOURANGSHU SARKAR - RAHUL WADHWA - RAMYA S - SNEHA NIMKAR - BAIBHAV BAJPAI

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A study on Road side vendors at coimbatore, india.

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Page 1: Analytics sabzi mandi

CONSUMER BEHAVIOR CONSUMER BEHAVIOR @@

SABZI MANDISABZI MANDI

TEAM ANALYTICSTEAM ANALYTICS- SOURANGSHU SARKAR- RAHUL WADHWA- RAMYA S- SNEHA NIMKAR- BAIBHAV BAJPAI

Page 2: Analytics sabzi mandi

Objectives…..

2

• To know buyers purchasing behavior

• To know buyer's preferences

• To know buyer's dislike

• To know buyer’s expectations

Page 3: Analytics sabzi mandi

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

Page 4: Analytics sabzi mandi

Road side vegetable market Vs super market

• price

• Freshness

• Flexible timing

• Stock

• Location

• experience / aroma

ROAD SIDE VEGETABLE SHOPVS SUPER MARKETS

Page 5: Analytics sabzi mandi

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

Page 6: Analytics sabzi mandi

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

Page 7: Analytics sabzi mandi

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

Page 8: Analytics sabzi mandi

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

Page 9: Analytics sabzi mandi

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

Page 10: Analytics sabzi mandi

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

Page 11: Analytics sabzi mandi

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

Page 12: Analytics sabzi mandi

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

Page 13: Analytics sabzi mandi

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

Page 14: Analytics sabzi mandi

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

Page 15: Analytics sabzi mandi

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

Page 16: Analytics sabzi mandi

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

Page 17: Analytics sabzi mandi

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

Page 18: Analytics sabzi mandi

Prices & Gender

F

M

0

1

2

3

4

5

6

7

Important

Not Important

Drop Page Fields Here

Count of prices

gender

prices

Page 19: Analytics sabzi mandi

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

Page 20: Analytics sabzi mandi

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

Page 21: Analytics sabzi mandi

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

Page 22: Analytics sabzi mandi

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

Page 23: Analytics sabzi mandi

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

Page 24: Analytics sabzi mandi

Prices & Gender

F

M

0

1

2

3

4

5

6

7

Important

Not Important

Drop Page Fields Here

Count of prices

gender

prices

Page 25: Analytics sabzi mandi

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

Page 26: Analytics sabzi mandi

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

Page 27: Analytics sabzi mandi

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.)

Page 28: Analytics sabzi mandi

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.

Page 29: Analytics 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.

Page 30: Analytics sabzi mandi

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.

Page 31: Analytics sabzi mandi

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

Page 32: Analytics sabzi mandi