Transaction date prediction


I've been using Knime for about 3 months for segmentation and offering purposes, and I want to make a model to predict when a customer will make a transaction, my data contains each customer Id, date of transaction and the amount of the transaction (Top up), for the last 6 months.

What I want to do is a model that predicts the dates each customer will make a transaction (Top up) for the next month and the amount of each transaction.

Any help would be highly appreciated, thanks for your time.

Hi Omar,

In this case I think it is difficult to suggest what would be the best technique to use for your forecasting analysis. Actually, it largely depends on the nature of your data (e.g. stationarity, seasonanality, noise level, etc.). Maybe you can share more information on the type of data you want to analyse?

Thank you,