Proprietary and Confidential

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Proprietary and Confidential

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Almost 96% of Amtrak customers in the northeast corridor travel by themselves or ... Even with the 90% discount, Amtrak's incremental revenue has been significant, ... – PowerPoint PPT presentation

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Title: Proprietary and Confidential


1
Two Pricing Optimization Applications at Amtrak
ShareFares Amtraks Small Group Fare
OneTouch Amtrak Group Optimization Model
  • INFORMS June 6, 2006

2
ShareFares - Background
  • Almost 96 of Amtrak customers in the northeast
    corridor travel by themselves or with one other
    person
  • Current Fares discourage groups larger than 2
  • We d charge from 68 to 120 one-way off-peak
    travel between Washington and New York on or
    Regional trains.
  • The one-way fare for groups of 3 or more exceeded
    200.
  • Most families are more likely to take the bus or
    drive.
  • ShareFares includes a deeply discounted fare for
    the 3rd through 6th traveler in each group
  • 90-off for the 3rd, 4th, 5th, and 6th rider
  • Even with the 90 discount, Amtraks incremental
    revenue has been significant, because it includes
    the first two riders at full far.

3
Pricing Example NYP to WAS
  • The first two riders pay the prevailing price.
  • Starting with the 3rd rider, the average price
    per rider drops significantly, especially for
    larger groups.
  • For a group of all adults, a group of six save
    60 (274) from what we are charging today.
  • Before ShareFares, a group of two adults and four
    children paid 304. With ShareFares they pay
    182, a 40 discount.

4
Dilution Has Been Minimal
  • Almost 96 of Regional reservations were for only
    1 or 2 riders.
  • Dilution was minimal, due to offer only applying
    to groups of 3 or more.
  • Dilution was further reduced with a 7-day APR.

5
ShareFares has Been Very Successful
  • In its first 12 months, it generated over 4
    million in incremental revenues
  • Displacement is controlled with Revenue
    Management
  • Dilution is minimal due to small customer base of
    groups of 3 or more and use of 7-day APR
  • This was accomplished with little advertising (we
    couldnt afford it!)
  • With dilution and displacement under control, we
    could afford to let demand build by word of mouth
    and PR
  • It is an Active Promotion We encourage or
    reservation and sales agents to offer it whenever
    it fits
  • We recently have changed the discount to 75 to
    measure price elasticity

6
Group Pricing - Background
  • In FY05, Amtrak received approximately 14
    million in group business
  • This is a little over 1 of total revenue (1.3
    billion)
  • However, Revenue Managers spent 15 to 20 of
    their time on pricing groups
  • Their efforts were primarily defensive,
    protecting higher-demand departures from selling
    out due to to many through-seats sold to short
    distance groups
  • Group decisions were done manually, resulting in
    a bias to keep all groups away from higher demand
    departures
  • Requests took 24 to 48 business hours to be priced

7
Solution OneTouch Amtraks Group Optimization
System
  • OneTouch solved three problems
  • Speed of Response Now most group requests are
    priced within 30 seconds
  • Better utilization of resources
  • Reservation center operators do not have to call
    back customers to quote the price
  • Revenue Managers now spend less than 1 hour
    monthly reviewing pricing decisions (versus hours
    each day)
  • Pricing is optimized, increasing group business

8
OneTouch fixed Manual Pricing Bias Against Groups
  • Most Revenue Managers saw all groups as a risk
    not worth taking unless there was no risk of
    selling out
  • Groups traveling longer distances (with higher
    fares) were automatically refused, or priced at
    highest bucket
  • Revenue Managers did not consider that many times
    the average price at the peak leg was well below
    the lower buckets of the longer distance markets
  • OneTouch both forecasts non-group demand to
    determine displacement risks as well as optimizes
    the peak leg seats when displacement is likely
  • The length of market (and value of fare) plays a
    bigger role than bucket in optimization decision.

9
Overview of Optimization Process
  • Leg Value Computation.
  • Demand forecasting at leg level.
  • Group Evaluation
  • Displacement
  • Displacement Value
  • Group value
  • Group Denial or Acceptance
  • Future Enhancements

10
Leg Value Computation
  • A leg demand has a composition of different
    markets
  • High demand short haul market
  • Low demand long haul market
  • Demand farther out in the booking cycle
  • Demand closer in to the booking cycle.

11
What is it Worth?
40 5 Legs
90 12 Legs
80-10 Legs
150 16 Legs
TOL
CUM
PGH
CLE
CHI
CHI
HMI
12
Group Evaluation - Displacement
Displacement 15, Non Displacement
10 Displacement Value 76 15 Non
Displacement Value Lowest fare for the Market
10 Group Value Displacement Value Non
Displacement Value
13
Future Enhancements
  • Expected Demand based on the time of arrival of
    the group request
  • Value of the leg as a function of days before
    departure
  • Step-wise displacement
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