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.