  This paper presents a framework capable of accurately forecasting future
sales in the retail industry and classifying the product portfolio according to
the expected level of forecasting reliability. The proposed framework, that
would be of great use for any company operating in the retail industry, is
based on Facebook's Prophet algorithm and backtesting strategy. Real-world
sales forecasting benchmark data obtained experimentally in a production
environment in one of the biggest retail companies in Bosnia and Herzegovina is
used to evaluate the framework and demonstrate its capabilities in a real-world
use case scenario.
