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Coca-Cola &  The “Smart” Vending Machines   ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
About Coke  -- A regular and inexpensive soft drink available everywhere around the world, especially popular among children. -- One of the best recognizable brands in the world.  -- Established in 1886 -- Operational Reach 200+ countries
[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],More and more companies are using real time data analysis to profile customers and offer customized value proposition.
Coke Smart Vending Machine :  Coke decided to extend existing technology through smart vending machines which could automatically adjust prices as per the weather/climate conditions.  -- If the temperature is high then price will be high. -- If temperature is low then price will be low.  The move backfires…..
        Rationale Behind…  Justification from CEO :  In a final summer championship, when people meet in a stadium to have fun, the utility of a cold Coca-Cola is very high. So it is fair that it should be more expensive. The machine will simply make this process automatic.  What is Differentiated Pricing :  - First Level  ( theoretical, depends on Customer willingness to pay ) - Second Level  ( e.g. Price on Sachet and Bigger Pack ) - Third Level  -- Customer Segment Pricing  ( e.g. Museums Tickets ) -- Product Form Pricing ( e.g. Big Bazaar Men’s Shirts )  -- Channel/Location Pricing  ( e.g. Theatre Tickets, Restaurants ) -- Time Pricing  ( e.g. Happy Hour, Early Bird Offer ) Economic Rationale:    Higher Price (Hot)     Higher Price  Lower price (cold) induces sales    Higher profit
Normal Vending Machine:    Number of cans sold equals to 200.  - Demand Function When temperature is high:  Q(high)= 300 -2p , where p is the price  - Demand Function When temperature is low:  Q(low)= 180 -2p   Price Difference Calculation Assumption:  1. High/Low Temperature is Equally-likely.  2. The marginal cost of temperature variation be 15 cents.  3. Lastly, Coke is assumed to be risk-neutral.
    Price Difference Calculation…..Contd Normal Vending Machine:    Expected Price is 70 cents per can.  Expected profit is 200 x 70 = 14000 cents  Smart Vending Machine:  Price during HOT weather is 85 cents per can.  Price during COLD weather is 55 cents per can.  Expected profit per machine is 14900 cents.  (=85 X 130 + 55 X 70 cents)
  Price Difference Calculation…..Contd Incremental Profit per day per machine:  = 14900 – 14000 = 900 cents Assuming  50,000 Smart Vending Machine:    Annual Increment Profit  = 900 x 50,000 x 365 days = $ 164.25 Million
What went wrong…. ,[object Object],[object Object],[object Object]
What went wrong…. ,[object Object],-- Perceived price-  For a staple product like coke people have an intuitive idea about its price hence any upward movement without proper justification has negative effect. -- Emotional Bonding-  Coke had been an iconic brand with very strong emotional attachment.
What went wrong…. ,[object Object],[object Object],--  Placement of vending machine-     Location selection would have been a major concern for Coke. In exclusive locations like theater and other common places customers were already paying higher price.
Pricing Strategy ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Pricing Strategy ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Other Issues ,[object Object],[object Object]
What Coke could have done better ,[object Object],[object Object],[object Object],[object Object],[object Object]
Thank You

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Coca-Cola's failed smart vending machine pricing strategy case analysis

  • 1.
  • 2. About Coke -- A regular and inexpensive soft drink available everywhere around the world, especially popular among children. -- One of the best recognizable brands in the world. -- Established in 1886 -- Operational Reach 200+ countries
  • 3.
  • 4. Coke Smart Vending Machine : Coke decided to extend existing technology through smart vending machines which could automatically adjust prices as per the weather/climate conditions. -- If the temperature is high then price will be high. -- If temperature is low then price will be low. The move backfires…..
  • 5. Rationale Behind… Justification from CEO : In a final summer championship, when people meet in a stadium to have fun, the utility of a cold Coca-Cola is very high. So it is fair that it should be more expensive. The machine will simply make this process automatic. What is Differentiated Pricing : - First Level ( theoretical, depends on Customer willingness to pay ) - Second Level ( e.g. Price on Sachet and Bigger Pack ) - Third Level -- Customer Segment Pricing ( e.g. Museums Tickets ) -- Product Form Pricing ( e.g. Big Bazaar Men’s Shirts ) -- Channel/Location Pricing ( e.g. Theatre Tickets, Restaurants ) -- Time Pricing ( e.g. Happy Hour, Early Bird Offer ) Economic Rationale: Higher Price (Hot) ď‚® Higher Price Lower price (cold) induces sales ď‚® Higher profit
  • 6. Normal Vending Machine: Number of cans sold equals to 200. - Demand Function When temperature is high: Q(high)= 300 -2p , where p is the price - Demand Function When temperature is low: Q(low)= 180 -2p Price Difference Calculation Assumption: 1. High/Low Temperature is Equally-likely. 2. The marginal cost of temperature variation be 15 cents. 3. Lastly, Coke is assumed to be risk-neutral.
  • 7. Price Difference Calculation…..Contd Normal Vending Machine: Expected Price is 70 cents per can. Expected profit is 200 x 70 = 14000 cents Smart Vending Machine: Price during HOT weather is 85 cents per can. Price during COLD weather is 55 cents per can. Expected profit per machine is 14900 cents. (=85 X 130 + 55 X 70 cents)
  • 8. Price Difference Calculation…..Contd Incremental Profit per day per machine: = 14900 – 14000 = 900 cents Assuming 50,000 Smart Vending Machine: Annual Increment Profit = 900 x 50,000 x 365 days = $ 164.25 Million
  • 9.
  • 10.
  • 11.
  • 12.
  • 13.
  • 14.
  • 15.