Product - AirDP Flashcards

1
Q

AirDP supports which external feeds and how

A
  • competition
  • pricing model
  • SOON target prices

By SFTP

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2
Q

Competition files for SQ DP

A

O&Ds with list of competitors and OIDs

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3
Q

Manual work on receiving SQ competition file

A

5md
- Make delta (new file every 2 months)
- Add parameters (stay duration, etc.)
- Handle issues (e.g. non-existing OIDs)

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4
Q

Why do we have OIDs in SQ competition file

A

To display reference prices in DSH

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5
Q

LHG and Continuous pricing: touchpoints

A

Only Digital, NOT call centre

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6
Q

Competition: solution to limit perf issues

A

Pre-computed utilities to avoid loading all competition data live

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7
Q

Engines for DP live and omnichannel

A

2 different engines (not omni re-use result of live)

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8
Q

Why reshooting

A

Not for Ludwig GDS bookings (“MIDT bookings”) as we can use shopping logs but we need to remap

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9
Q

CCM model: formulae

A

MNL: parametric utility based on price P and other attributes Ai:
U=aP+bi.Ai
Proba = e(Ui)/Sum(e(Uj))

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10
Q

Preparation of variables for CCM MNL

A

Normalisation:
e.g. by distance for price + elapsed flying time

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11
Q

Limitation of single optimisation vs multi-optimisation

A

Cannot take into account EY alternatives: each EY option is assessed against competition only
and market share of EY is difficult to assess

(still some functional and technical challenges)

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12
Q

How is airline preference estimated

A

Based on market share

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13
Q

Example of manual model tweaking thanks to weight change

A

Give more weight to short stay durations for close departure dates as more representative of business behaviour

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14
Q

CCM steps

A

Weekly estimation
Vetting of new model (vs previous one before calibration)
Calibration

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15
Q

CCM: objective of calibration

A

Finetune CCM so that:
- DP price close to reference price
- Purchase proba of competitors close to historical market share

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16
Q

Limitation of what omni-channel can do to reach live DP (by design not user controls)

A

Omni-channel is averaged (RT/OW, business/leisure…)

17
Q

Problem of DP w/o competition

A

Can recommend absurd prices (like +100%) because ignores thinks like change of dates

18
Q

Way of testing DP silent a bit more live

A

Put avl adj to map DP results (was considered during SQ silent but not done)

19
Q

Split of business responsibility between the products RMS & DP

A

RMS+RAAV responsible for avg price, DP plays on the margin

20
Q

SQ: DP reporting: which features

A

/DP at end of ticket designator (instead of /SAA)
FCPI H

21
Q

Impact of Continuous Pricing for AC.com

A

In shopping, need to get Offer IDs
In pricing, need to call with selected OfferID

22
Q

AirDP pricing models

A

1) PB based (if already a significant NDC adoption)
2) Fixed fee + net booking fee

23
Q

AirDP average price per pex for airlines for external science

A

2.5 cts

24
Q

AirDP: try before you buy: pricing model

A

Upfront fee + fee if a/l doesn’t continue + monthly fee for extension
For BA: 100k + 300k + x

25
Q

AirDP: try before you buy: duration

A

7 months: 4 implem/calib + 3 trial. Extension max + 3 months

26
Q

Air DP: Ludwig vs PROS on functionality

A

Ludwig allow mark-up and full itinerary optimisation

27
Q

AirDP: max # of cls that can be closed for EY at time of cutover

A

4 (as opposed to 2 w/ 1S)

28
Q

How does DP manage missing competition data (e.g. airline not distributed)

A

Offline process only based on distributed competitors but corrected by market share (estimated based on MIDT, etc.)
Online process can be input with infare data

29
Q

Option behind continuous pricing DP and competition DP

A

Continuous pricing + customer segmentation