Prototypes on how to predict timeseries


Timeseries Prediction for Website Visitors

  • What is the purpose of this POC: This POC shows how to predict time series with facebooks prophet library. This can be used for sales or website data.
  • In this case we predict Liip website users.

Link to DEMO or 30s VIDEO of the project

  • Link to POC demo or video: none exists.
  • Link to the blogpost if it exists: none exists.
  • Is it protected with a psw/login: no.


  • What is the benefit for the customer: A customer might for example be made aware of that energy consumption at 18:20 is going to be huge and postpone using his washing machine.
  • What is the benefit for the business: A business owner might forecast sales data, energy consumption data and act in a predictive manner.


  • How much MD did you use to build it: 1MD


  • Which data is it based on: An export of liip website users.

Used Technologies

  • Which technologies were used: Facebook prophet library


  • Which things could be build with this POC if you had more time: An app to save energy for an energy company.