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Author Topic: Forecasting revenues: How we apply the science known to airlines to your sales  (Read 1831 times)

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« on: December 31, 2013, 05:38 »
+1
Oliver and me worked for a long time at a company producing software for airlines. One of Oliver's main tasks was to deal with forecasting of passenger numbers in order to determine competitive but profitable prices. The process is complex.

Oliver is the father behind Stock Performer's revenue forecast model and he just extended it to provide monthly forecasts for each one of your agencies.

Read more about his work on this here: http://bit.ly/1d2Goi2

Enjoy!


« Reply #1 on: December 31, 2013, 11:11 »
0
Use grok. the power of sparse representation straight form the neocortex :)

« Reply #2 on: December 31, 2013, 11:52 »
+1
I was going to ask how it predicted the PP for Nov and October, but it doesn't even predict the Christmas slump and the changes in algorithms - that is what I care about.

Goofy

« Reply #3 on: December 31, 2013, 12:23 »
0
With my wimpy sales I don't even need a spreadsheet just a pad and pencil!

Uncle Pete

« Reply #4 on: December 31, 2013, 19:50 »
+1
What? Al Gore was changing rhythms again on SS? Or did you mean in the event that something changes in the search, it would change the analysis?

Yes, I do the ex post facto analysis method, which is very accurate. When the money comes, I look to see why?  :) I'm not good at predicting football scores or future microstock sales. Maybe some people want to know the future? I'd say Tarot cards or a psychic would be useful.

If the analysis is based on the past trends and cycles. Then it's as simple as, just look at last year and the year before, nothing complex or intricate.

Suggestion for OP. If Oliver and you worked on airline predictive passenger travel, please contact Amtrak, and offer to help them, so they can get their act together! Their buckets are random and for some reason, the prices fluctuate in seemingly unnatural ways as well.
 


I was going to ask how it predicted the PP for Nov and October, but it doesn't even predict the Christmas slump and the changes in algorithms - that is what I care about.


 

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