data forcasting (like sales) python

Job ID: 33821463

Budget: $250 – $750 USD

We have a financial software that keeps the general information of our customers such as sales data. We want a forecast for the future using daily actual data from previous years. In addition to the actual data, other datasets will be presented, which will be named as independent variables. For example, adwords advertising budget, inflation rate, daily pandemic case, etc. that may affect sales.

Since our software is used by different customers, a separate estimate should be created for each of them, and this estimate should be able to be made as soon as the request is made. We will provide a web service or sql table/view that provides you with the actual data when the forecast request arrives, and we want it to be returned as json data in return.

Estimation request can be requested at any time. For example, when an estimate of the sales between June 2022 and December is requested, you will be notified of the previous realized data and other related data sets, and you will be asked to create the forecast accordingly and send it back, possibly as json data.

As a summarise for work,

1-Determining the independent variable relationship, if any, while estimating the sales data
2-Forecasting sales data

As a result, we will want the two software to communicate with each other, so we ask for a suggestion for communication.