Project Description

Our clients needed to predict the sales per day for each of the next 100 days.  They wanted to have a data science program that can also look at adjacent factors that influence sale including location and weather.

We created a general-purpose data science module in python or R that could

– Digest the daily sales data for the past 3 years and develop a model.

– Identify and use any publicly available sources of data for influencers on sale.

– Produce a prediction model that is cheap to run and provides higher accuracy of sale.

– Use the model to produce predicted sale at the stores for next 100 days.