Forecasting for tourist offices Arosa & Lenzerheide

Build a request prediction tool

The tourist information offices in both Arosa and Lenzerheide staff their offices according to how many tourists they expect to be contacted by. The process of staffing the office relies on experience and laborious mapping of the next months events, season, holidays etc.

Customer requirements: The tourist office would like a tool to facilitate and enhance the prediction of tourist requests.

Potential Key Deliverables: Forecasting tool one month prior.

Out of Scope: Predictions for the sub-branch offices/ information points.

Potential Challenge: A prediction tool should forecast the amount of tourist requests throughout different channels such as phone calls, emails, and front desk per month. The prediction depends on a variety of factors including events, school holidays, public holidays, season and weather. The importance of these factors should be explained.


Results

Details on the implementation of the project during the hackdays can be found here. The Lenzerheide files are in the repo "forecast5.0" and the Arosa ones in repo "forecast5.1".

You can find the final presentation as well as a demo of our forecast here.

Enjoy!

Edited content

01.12.2019 13:32 ~ trunicorn

Event finished

30.11.2019 13:00

Joined the team

30.11.2019 07:50 ~ sibylle

Edited content

29.11.2019 11:20 ~ oleg

Joined the team

29.11.2019 10:49 ~ Ronny

Event started

29.11.2019 08:00

Edited content

11.11.2019 20:59 ~ danielbarco

Joined the team

10.11.2019 18:50 ~ KPaul20005

Edited content

09.11.2019 15:32 ~ danielbarco

Joined the team

22.10.2019 05:27 ~ danielbarco

Challenge posted

22.10.2019 05:27 ~ danielbarco
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Open Data Hackdays: Tourism