Build an Azure Regression Model to Predict Sales by Day & SKU -- 2

I'm looking for somebody that can build an Azure workflow to predict the sales of a given product by specifying a date and product code. The dataset is 4 years of data, showing the total of each product by date DATE | PRODUCT_CODE | TOTAL_SOLD 26/10/2016 | ABD_1 | 100 26/10/2016 | ABD_2 | 65 26/10/2016 | ABD_1 | 78 The data will need to be used to produce an accurate model. Certain logic needs to be considered. 1. 3 Seasonal peaks are seen each year which has a massive increase in the total sold, one of the seasons the date changes each year. 2. Mondays are always higher in total sold, the day of the week is the biggest influence of total sold. The dataset can be produced and altered in any format you require to best achieve results. Please message for any clarification.