Product - AirDP Flashcards

(29 cards)

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

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
AirDP: try before you buy: duration
7 months: 4 implem/calib + 3 trial. Extension max + 3 months
26
Air DP: Ludwig vs PROS on functionality
Ludwig allow mark-up and full itinerary optimisation
27
AirDP: max # of cls that can be closed for EY at time of cutover
4 (as opposed to 2 w/ 1S)
28
How does DP manage missing competition data (e.g. airline not distributed)
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
Option behind continuous pricing DP and competition DP
Continuous pricing + customer segmentation