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Ch.10PricingValue
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Pricing and Customer Value
Phil [email protected]
David Simchi-LeviPhilip Kaminsky
Edith Simchi-Levi
McGraw-Hill/Irwin © 2003 Simchi-Levi, Kaminsky, Simchi-Levi
Outline
Customer Value The Fundamentals of Pricing Strategies
– Revenue Management & Customized Pricing Mail-in-Rebate strategies Dynamic Pricing in SCM
– Delayed Pricing vs. Delayed Production
McGraw-Hill/Irwin © 2003 Simchi-Levi, Kaminsky, Simchi-Levi
Customer Value How should a company measure the value of its products or services? The emphasis has moved from internal measures such as quality to
customer satisfaction measures. The supply chain has a huge impact on perceived customer value:
– Prices vs. service?– Delivery speed vs. price?– Specialization or one-stop shopping?
Recall that responding to customer requirements is a basic part of supply chain management.
Customer value drives changes in the supply chain, and is a critical input in determining the type of supply chain for a particular product– Large inventories– High level of customization
McGraw-Hill/Irwin © 2003 Simchi-Levi, Kaminsky, Simchi-Levi
The Dimensions of Customer Value
Conformance to requirements– Offer what the customer wants– Demand impacts the supply chain
Product Selection– A proliferation of options makes the supply chain difficult to manage– Three trends
Specialty stores (Starbucks, Subway) Megastores (Wal-Mart, Target) Specialized Megastores (Home Depot, OfficeMax)
– Dealing with the proliferation: Build-to-order Centralized inventories A fixed set of options
McGraw-Hill/Irwin © 2003 Simchi-Levi, Kaminsky, Simchi-Levi
The Dimensions of Customer Value
Price and Brand– Pricing is a key part of the customer experience
The correct supply chain supports the correct price Wal-mart
– Brand works hand in hand with price As the number of salespeople decreases, the value of brand increases This is particularly true on the internet
Value Added Services– It is hard to compete on price alone– Value added services are on the rise due to
Commoditization of products The need to get closer to the customer Improving information technology
Relationships and Experiences– An increased connection between the firm and its customers
Dell manages the PC’s of large customers 3PL The Sony store
McGraw-Hill/Irwin © 2003 Simchi-Levi, Kaminsky, Simchi-Levi
Smart Pricing? Dell:
– Same product is sold at a different price to different consumers (private/small or large business/government/academia/health care)
– Price of the same product for the same industry varies Amazon
– Books.com had a lower price than Amazon 99% of the time, yet Amazon had 80% of the market in 2000 while Books.com only 2%
Nikon, Sharp…– Mail-In-Rebate
Boise Cascade office– Prices of 12,000 items sold on-line may change as often as daily
McGraw-Hill/Irwin © 2003 Simchi-Levi, Kaminsky, Simchi-Levi
Revenue Management Example:
– A cruise ship with C=400 identical cabins– The Price-Quantity relationship
McGraw-Hill/Irwin © 2003 Simchi-Levi, Kaminsky, Simchi-Levi
Revenue Management
Price
No. seats
2000
1000
P=2000-2Q
McGraw-Hill/Irwin © 2003 Simchi-Levi, Kaminsky, Simchi-Levi
Revenue Management Example:
– A cruise ship with C=400 identical cabins– The Price-Quantity relationship
What is the price that the company should charge to maximize revenue?
McGraw-Hill/Irwin © 2003 Simchi-Levi, Kaminsky, Simchi-Levi
Revenue ManagementPrice
No. seats
P0=1200
C=400
Revenue=480,000
McGraw-Hill/Irwin © 2003 Simchi-Levi, Kaminsky, Simchi-Levi
Revenue ManagementPrice
No. seats
P0=1200
C=400
Money on the Table=160,000
McGraw-Hill/Irwin © 2003 Simchi-Levi, Kaminsky, Simchi-Levi
Revenue ManagementPrice
No. seats
P2=1600
Q2=200
McGraw-Hill/Irwin © 2003 Simchi-Levi, Kaminsky, Simchi-Levi
Revenue ManagementPrice
No. seatsC=400
P1=1200
McGraw-Hill/Irwin © 2003 Simchi-Levi, Kaminsky, Simchi-Levi
Revenue ManagementPrice
No. seatsQ1 =400
P1=1200
Q2=200
P2=1600
Revenue=1600(200) + 1200(400-200)=560,000
McGraw-Hill/Irwin © 2003 Simchi-Levi, Kaminsky, Simchi-Levi
Revenue Management Can we increase revenue more?
McGraw-Hill/Irwin © 2003 Simchi-Levi, Kaminsky, Simchi-Levi
Revenue ManagementPrice
No. seatsQ1 =400
P1=1200
Q2=200
P2=1600
P3=1800
Q3=100
Revenue=1800(100) + 1600(200-100) + 1200(400-200)=580,000
McGraw-Hill/Irwin © 2003 Simchi-Levi, Kaminsky, Simchi-Levi
How can the firm prevent customers from moving from one class to another?
Leisure
Travelers
Business
TravelersNo
Offer
NoDemand
Sensitivity to Price
Sensitivity to DurationSensitivity to Flexibility
High Low
Low
High
McGraw-Hill/Irwin © 2003 Simchi-Levi, Kaminsky, Simchi-Levi
Revenue Management “Allocating the right type of capacity to the right
kind of customer at the right price so as to maximize revenue or yield”
Traditional Industries: – Airlines– Hotels– Rental Car Agencies– Retail Industry
McGraw-Hill/Irwin © 2003 Simchi-Levi, Kaminsky, Simchi-Levi
Traditional Requirements Perishable inventory Limited capacity Ability to segment markets
– early-bird booking– over the weekend
Product sold in advance Fluctuating demand
McGraw-Hill/Irwin © 2003 Simchi-Levi, Kaminsky, Simchi-Levi
Airline Revenue Management
Two components of airline revenue maximization:– Customized Pricing:
Various “fare products” offered at different prices for travel in the same O-D market
– Yield Management (YM): Determines the number of seats available to each
“fare class” on a flight, by setting booking limits on low fare seats
McGraw-Hill/Irwin © 2003 Simchi-Levi, Kaminsky, Simchi-Levi
Revenue Management:Yield Management
There are only two price classes– Leisure: (f2) $100 per ticket
– Business: (f1) $250 per ticket Total available capacity= 80 seats Distribution of demand for business class is
known
McGraw-Hill/Irwin © 2003 Simchi-Levi, Kaminsky, Simchi-Levi
Business Class: Demand Distribution
Probability
0
0.05
0.1
0.15
0.2
0.25
0.3
0 5 10 15 20 25 30
Demand for Business Class
McGraw-Hill/Irwin © 2003 Simchi-Levi, Kaminsky, Simchi-Levi
Revenue Management:Capacity Allocation
There are only two price classes– Leisure: (f2) $100 per ticket
– Business: (f1) $250 per ticket Total available capacity= 80 seats Distribution of demand for business class is
known Enough demand for the leisure class
McGraw-Hill/Irwin © 2003 Simchi-Levi, Kaminsky, Simchi-Levi
Revenue Management:Capacity Allocation
Objective: How many seats to allocate to the business class to maximize expected revenue
McGraw-Hill/Irwin © 2003 Simchi-Levi, Kaminsky, Simchi-Levi
Expected Revenue
Expected Revenue
7500
8000
8500
9000
9500
10000
0 5 10 15 20 25 30 35
Business Class
McGraw-Hill/Irwin © 2003 Simchi-Levi, Kaminsky, Simchi-Levi
Expected Revenue
Expected Revenue
7500
8000
8500
9000
9500
10000
0 5 10 15 20 25 30 35
Business Class
McGraw-Hill/Irwin © 2003 Simchi-Levi, Kaminsky, Simchi-Levi
Revenue Management:Capacity Allocation
Optimality Condition: Choose the number of seats for the business class such that marginal revenue from each class is the same
McGraw-Hill/Irwin © 2003 Simchi-Levi, Kaminsky, Simchi-Levi
Optimality Condition
Margina Revenue Business
0
50
100
150
200
250
300
0 5 10 15 20 25 30 35
McGraw-Hill/Irwin © 2003 Simchi-Levi, Kaminsky, Simchi-Levi
Optimality Condition
Margina Revenue Business
0
50
100
150
200
250
300
0 5 10 15 20 25 30 35
Marginal Revenue Leisure
McGraw-Hill/Irwin © 2003 Simchi-Levi, Kaminsky, Simchi-Levi
Optimality Condition
Margina Revenue Business
0
50
100
150
200
250
300
0 5 10 15 20 25 30 35
Marginal Revenue Leisure
McGraw-Hill/Irwin © 2003 Simchi-Levi, Kaminsky, Simchi-Levi
Benefits of Revenue Management in the Airline Industry
Evidence of airline revenue increases of 4 to 6 percent:– With effectively no increase in flight operating costs
RM allows for tactical matching of demand vs. supply:– Booking limits can help channel low-fare demand to
empty flights– Protect seats for highest fare passengers on forecast
full flights
McGraw-Hill/Irwin © 2003 Simchi-Levi, Kaminsky, Simchi-Levi
Mail-in-Rebate What is the manufacturer trying to achieve
with the rebate?– Why the manufacturer and not the retailer?
Should the manufacturer reduce the wholesale price instead of the rebate?
Are there other strategies that can be used to achieve the same effect?
McGraw-Hill/Irwin © 2003 Simchi-Levi, Kaminsky, Simchi-Levi
Mail-in-Rebate A Retailer and a manufacturer.
– Retailer faces customer demand.– Retailer orders from manufacturer.
Selling Price=?
Wholesale Price=$900
Retailer Manufacturer
Variable Production Cost=$200
McGraw-Hill/Irwin © 2003 Simchi-Levi, Kaminsky, Simchi-Levi
Demand-Price Relationship
Demand
Price
10000
2000
P=2000-0.2Q
McGraw-Hill/Irwin © 2003 Simchi-Levi, Kaminsky, Simchi-Levi
Retailer Expected Profit (No Rebate)
0
200,000
400,000
600,000
800,000
1,000,000
1,200,000
1,400,000
1,600,000
500 1,000 1,500 2,000 2,500 3,000 3,500 3,654 4,110 4,567 4,547
Order
Reta
iler E
xpec
ted
Prof
it
McGraw-Hill/Irwin © 2003 Simchi-Levi, Kaminsky, Simchi-Levi
Retailer Expected Profit (No Rebate)
0
200,000
400,000
600,000
800,000
1,000,000
1,200,000
1,400,000
1,600,000
500 1,000 1,500 2,000 2,500 3,000 3,500 3,654 4,110 4,567 4,547
Order
Reta
iler E
xpec
ted
Prof
it
$1,370,096
McGraw-Hill/Irwin © 2003 Simchi-Levi, Kaminsky, Simchi-Levi
Manufacturer Profit (No Rebate)
0
1,000,000
2,000,000
3,000,000
4,000,000
5,000,000
6,000,000
500
1,000
1,500
2,000
2,500
3,000
3,500
3,654
4,110
4,567
4,547
4,961
5,374
5,788
6,201
6,614
7,028
7,441
7,855
Order
Man
ufac
ture
r Pr
ofit
McGraw-Hill/Irwin © 2003 Simchi-Levi, Kaminsky, Simchi-Levi
Manufacturer Profit (No Rebate)
0
1,000,000
2,000,000
3,000,000
4,000,000
5,000,000
6,000,000
500
1,000
1,500
2,000
2,500
3,000
3,500
3,654
4,110
4,567
4,547
4,961
5,374
5,788
6,201
6,614
7,028
7,441
7,855
Order
Man
ufac
ture
r Pr
ofit
$1,750,000
McGraw-Hill/Irwin © 2003 Simchi-Levi, Kaminsky, Simchi-Levi
Retailer Expected Profit ($100 Rebate)
0
200,000
400,000
600,000
800,000
1,000,000
1,200,000
1,400,000
1,600,000
1,800,000
1,000 1,500 2,000 2,500 3,000 3,500 4,000 4,110 4,567 4,547 4,961
Order
Ret
aile
r Exp
ecte
d Pr
ofit
McGraw-Hill/Irwin © 2003 Simchi-Levi, Kaminsky, Simchi-Levi
Retailer Expected Profit ($100 Rebate)
0
200,000
400,000
600,000
800,000
1,000,000
1,200,000
1,400,000
1,600,000
1,800,000
1,000 1,500 2,000 2,500 3,000 3,500 4,000 4,110 4,567 4,547 4,961
Order
Ret
aile
r Exp
ecte
d Pr
ofit
$1,644,115
McGraw-Hill/Irwin © 2003 Simchi-Levi, Kaminsky, Simchi-Levi
Manufacturer Profit ($100 Rebate)
0
1,000,000
2,000,000
3,000,000
4,000,000
5,000,000
6,000,000
1,000
1,500
2,000
2,500
3,000
3,500
4,000
4,110
4,567
4,547
4,961
5,374
5,788
6,201
6,614
7,028
7,441
7,855
8,268
Order
Man
ufac
ture
r Pr
ofit
McGraw-Hill/Irwin © 2003 Simchi-Levi, Kaminsky, Simchi-Levi
Manufacturer Profit ($100 Rebate)
0
1,000,000
2,000,000
3,000,000
4,000,000
5,000,000
6,000,000
1,000
1,500
2,000
2,500
3,000
3,500
4,000
4,110
4,567
4,547
4,961
5,374
5,788
6,201
6,614
7,028
7,441
7,855
8,268
Order
Man
ufac
ture
r Pr
ofit
$1,810,392
McGraw-Hill/Irwin © 2003 Simchi-Levi, Kaminsky, Simchi-Levi
Retailer Expected Profit (Reduced Wholesale Price $100 )
0
200,000
400,000
600,000
800,000
1,000,000
1,200,000
1,400,000
1,600,000
1,800,000
500 1,000 1,500 2,000 2,500 3,000 3,500 4,000 4,110 4,567 5,024
Order
Ret
aile
r E
xpec
ted
Pro
fit
McGraw-Hill/Irwin © 2003 Simchi-Levi, Kaminsky, Simchi-Levi
Retailer Expected Profit (Reduced Wholesale Price $100 )
0
200,000
400,000
600,000
800,000
1,000,000
1,200,000
1,400,000
1,600,000
1,800,000
500 1,000 1,500 2,000 2,500 3,000 3,500 4,000 4,110 4,567 5,024
Order
Ret
aile
r E
xpec
ted
Pro
fit
$1,654,508
McGraw-Hill/Irwin © 2003 Simchi-Levi, Kaminsky, Simchi-Levi
Manufacturer Profit (Reduced Wholesale Price $100)
0
500,000
1,000,000
1,500,000
2,000,000
2,500,000
3,000,000
3,500,000
4,000,000
4,500,000
5,000,000
500 1,000 1,500 2,000 2,500 3,000 3,500 4,000 4,110 4,567 5,024 4,961 5,374 5,788 6,201 6,614 7,028 7,441 7,855
Order
Man
ufac
ture
r Pro
fit
McGraw-Hill/Irwin © 2003 Simchi-Levi, Kaminsky, Simchi-Levi
Manufacturer Profit (Reduced Wholesale Price $100)
0
500,000
1,000,000
1,500,000
2,000,000
2,500,000
3,000,000
3,500,000
4,000,000
4,500,000
5,000,000
500 1,000 1,500 2,000 2,500 3,000 3,500 4,000 4,110 4,567 5,024 4,961 5,374 5,788 6,201 6,614 7,028 7,441 7,855
Order
Man
ufac
ture
r Pro
fit
$1,800,000
McGraw-Hill/Irwin © 2003 Simchi-Levi, Kaminsky, Simchi-Levi
Mail-in-Rebate
Strategy Retailer Manufacturer TotalNo Rebate 1,370,096 1,750,000 3,120,096 With Rebate ($100) 1,644,115 1,810,392 3,454,507 Reduce Wholesale P ($100) 1,654,508 1,800,000 3,454,508
McGraw-Hill/Irwin © 2003 Simchi-Levi, Kaminsky, Simchi-Levi
Mail-in-Rebate
Strategy Retailer Manufacturer TotalNo Rebate 1,370,096 1,750,000 3,120,096 With Rebate ($100) 1,644,115 1,810,392 3,454,507 Reduce Wholesale P ($100) 1,654,508 1,800,000 3,454,508 Global Optimization 3,929,189
McGraw-Hill/Irwin © 2003 Simchi-Levi, Kaminsky, Simchi-Levi
Managerial Insights Mail in Rebate allows supply chain partners
to move away from sequential strategies toward global optimization– Provides retailers with upside incentive
Mail in Rebate outperforms wholesale price discount for manufacturer
Other advantages of rebates:– Not all customers will remember to mail them in– Gives manufacturer better control of pricing
McGraw-Hill/Irwin © 2003 Simchi-Levi, Kaminsky, Simchi-Levi
Smart Pricing Customized Pricing
– Revenue Management Techniques Distinguish between customers according to their
price sensitivity– Influence retailer pricing strategies– Move supply chain partners toward global
optimization
McGraw-Hill/Irwin © 2003 Simchi-Levi, Kaminsky, Simchi-Levi
Smart Pricing Dynamic Pricing
– Changing prices over time without necessarily distinguishing between different customers
– Find the optimal trade-off between high price and low demand versus low price and high demand
McGraw-Hill/Irwin © 2003 Simchi-Levi, Kaminsky, Simchi-Levi
When does Dynamic Pricing Provide Significant Profit Benefit?
Limited Capacity Demand Variability Seasonality in Demand Pattern Short Planning Horizon
McGraw-Hill/Irwin © 2003 Simchi-Levi, Kaminsky, Simchi-Levi
The Internet makes Smart Pricing Possible
Low Menu Cost Low Buyer Search Cost Visibility
– To the back-end of the supply chain allows to coordinate pricing, production and distribution
Customer Segmentation– Difficult in conventional stores and easier on the Internet
Testing Capability
McGraw-Hill/Irwin © 2003 Simchi-Levi, Kaminsky, Simchi-Levi
A Word of Caution Amazon.com experimented with dynamic
pricing – customers responded negatively Coca-Cola distributors rebelled against a
seasonal pricing scheme Opaque fares (priceline.com, hotwire.com)
– Determining the correct mix of opaque and regular fares is difficult.