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Analytics sabzi mandi

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A study on Road side vendors at coimbatore, india.

Publicada em: Negócios, Tecnologia
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Analytics sabzi mandi

  1. 1. CONSUMER BEHAVIOR @ SABZI MANDI TEAM ANALYTICS - SOURANGSHU SARKAR - RAHUL WADHWA - RAMYA S - SNEHA NIMKAR - BAIBHAV BAJPAI
  2. 2. Objectives…..• To know buyers purchasing behavior• To know buyers preferences• To know buyers dislike• To know buyer’s expectations 2
  3. 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. 4. ROAD SIDE VEGETABLE SHOP VS SUPER MARKETS Road side vegetable market Vs super market• price• Freshness• Flexible timing• Stock• Location• experience / aroma
  5. 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. 6. Data sets Drop Page Fields Here Occupation Vs Frequency of Consumption Count of frequency of consumption765 frequency of consumption4 every day thrice3 tw ice w eekly210 home maker w orking occupation
  7. 7. Data sets Occupation Vs Fields Here Drop Page Planned/unplanned Count of planned/unplanned8765 planned/unplanned4 Planned Unplanned3210 home maker working occupation
  8. 8. Data sets Drop Page Fields Here Lifestyle Vs Frequency of Consumption Count of frequency of consumption765 frequency of consumption4 every day thrice3 twice weekly210 low middle lifestyle
  9. 9. Data sets Drop Page Fields Here Lifestyle Vs Want Count of want8765 want4 basic needs most of them3210 low middle lifestyle
  10. 10. Data sets Drop Page Fields Here Distance Vs Frequency of Consumption Count of frequency of consumption765 frequency of consumption4 every day thrice3 twice weekly210 long short distance
  11. 11. Data sets Drop Page Fields Here Distance Vs Want Count of want98765 want basic needs4 most of them3210 long short distance
  12. 12. Data sets Drop Page Fields Here Family Size Vs Type of Vegetables Count of type of vegetables4.5 43.5 32.5 type of vegetables Fresh for long 2 immediate consumption1.5 10.5 0 3 4 5 6 7 family size
  13. 13. Data sets Family Size Vs Page Fieldsof Consumption Drop Frequency Here Count of frequency of consumption4.5 43.5 3 frequency of consumption2.5 every day thrice 2 twice weekly1.5 10.5 0 3 4 5 6 7 family size
  14. 14. Prices & Distance Drop Page Fields HereCount of prices 10 9 8 7 6 5 prices 4 Important 3 Not Important 2 1 0 long short distance
  15. 15. Prices & Age Drop Page Fields HereCount of prices 6 5 4 3 prices Important Not Important 2 1 0 20+ 30+ 40+ 50+ age
  16. 16. Prices & Lifestyle Drop Page Fields HereCount of prices 8 7 6 5 4 prices 3 Important Not Important 2 1 0 low middle lifestyle
  17. 17. Prices & Occupation Drop Page Fields HereCount of prices 7 6 5 4 prices 3 Important Not Important 2 1 0 home maker working occupation
  18. 18. Prices & Gender Drop Page Fields HereCount of prices 7 6 5 4 3 prices Important 2 Not Important 1 0 F M gender
  19. 19. Prices & Consumption Frequency Drop Page Fields HereCount of prices 7 6 5 4 3 prices Important 2 Not Important 1 0 every day twice thrice weekly frequency of consumption
  20. 20. Prices & Family size Drop Page Fields HereCount of prices 6 5 4 3 prices Important 2 Not Important 1 0 3 4 5 6 7 family size
  21. 21. Prices & Quality Drop Page Fields HereCount of prices 8 7 6 5 4 prices 3 Important Not Important 2 1 0 doesnt matter fresh like anywhere else quality
  22. 22. Prices & Vegetables bought Drop Page Fields HereCount of prices 7 6 5 4 prices 3 Important Not Important 2 1 0 Fresh for long immediate consumption type of vegetables
  23. 23. Prices & Purchase type Drop Page Fields HereCount of prices 7 6 5 4 prices 3 Important Not Important 2 1 0 Planned Unplanned planned/unplanned
  24. 24. Prices & Gender Drop Page Fields HereCount of prices 7 6 5 4 prices 3 Important Not Important 2 1 0 F M gender
  25. 25. Prices & kind of Want Drop Page Fields HereCount of prices 9 8 7 6 5 prices 4 Important 3 Not Important 2 1 0 basic needs most of them bought
  26. 26. Prices & Region Drop Page Fields HereCount of prices 8 7 6 5 4 prices Important 3 Not Important 2 1 0 A.P Kerala T.N region
  27. 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. 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. 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. 30. Business Model Organized retailer can make contract with village vegetable marketer so that they would able to attractall middle class consumer who do other shopping there.
  31. 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

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