Sales and Production Prediction
#This project is the term project of BLG440E 2016 Spring Term Course.
Project Description:
• Project Description
İmplementing an analysis of forecasting sales of products in a script based language like R or Python etc. using sales quantity dataset.
There are a lot of location and manifacturing center,predicting new date’s quantity of sales facilitates the optimization product and increasing costs.
• Project Requirements
Time information lists of sales.
Manifacturing center information.
Locations
Product id and name
Main group information of the product.
Subgroups.
Product genre
Quantity
İnput format is time information and sum of quantity of sales by grouping times.
• Project Steps
Construct a use case for predicting the new quantity of sales.
Understand the data’s structure by statistically.
Normalizing for preparing dataset of getting the stationary.
Determine a threshold.
Finding the optimum model for phase of prediction by tests.
Compare model success and choose the best.
İmplement the reasonable model for prediction and print outputs by the fitted and predicted values by date,quantity,any identified groups,confidence limit information.
Graph them for a good comparing model success by a language.