This document discusses how using weather reports can improve predictions of customer behavior. It notes that weather, such as rain, can significantly impact activities like taxi usage. Some customers have started incorporating weather data retrieved via API into their predictive analyses. The document demonstrates accessing weather data from Yahoo and an Israeli meteorological service to obtain historical and forecast data in files. It suggests pressure is a good indicator for weather changes and that integrating weather data can have a great impact with only a small effort.

1. Improving your prediction by using weather reports
1© Keren Tech LTD
By Alpsdake - Own work, CC BY-SA 3.0, https://commons.wikimedia.org/w/index.php?curid=16399555
It is a well-known phenomenon that customer behavior is influents by
weather, such as the usage of Taxi, which is 2-3 times higher during rain
than at usual (no rain) condition.
Some of our customers have started using such data and have asked us
to build a simple mechanism of getting such data, via simple API, into an
internal data base, that later was analyzed with "R".
It seems that the impact of weather has great impact on the predication
both in temperature for clothing, but also on fresh food, drinking and
other.

2. Improving your prediction by using weather reports
2© Keren Tech LTD
As demonstrated below, we have used Yahoo weather, for USA based
customer as demonstrated below
We have used a different, new API for an Israeli – based firm, that is
based on the Israel Metrological Service (www.IMS.gov.il) that can give
historical and forecasting data via JSON & CSV files

3. Improving your prediction by using weather reports
3© Keren Tech LTD
Please note the Pressure is a good indicator for changes in the weather!
Small effort in order to gain great impact
Please contact itai.gor@gmail.com if you need any more info